epoch 0
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.145950231843)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.542617319808)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.233845557606)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.555574000026)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.316894745157)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.192378846139)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
0	0.634249501239	1	0
epoch 1
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.109778998743)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.56163135297)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.637042206283)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.701891718223)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.7445800439)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.775733279835)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
1	0.519939976941		0
epoch 2
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.642609886129)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.73483060965)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.578736544285)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.423378491835)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.272354859653)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.604416722284)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
2	0.527706747448	1	0
epoch 3
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.668743625961)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.47520412368)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.50659463959)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.670912447556)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.719673720232)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.558747677322)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
3	0.509529597359		0
epoch 4
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.401916308169)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.254268977119)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.600011931384)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.370974608619)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.147482736062)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.203861467291)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
4	0.460243439054	1	0
epoch 5
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.563742144197)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.643549590974)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.705725323433)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.402704598643)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.466966805431)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.622534873143)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
5	0.451314620304		0
epoch 6
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.689285404849)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.735910039839)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.582546764363)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.705201408167)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0467333143872)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.738544316879)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
6	0.501817372613	1	0
epoch 7
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.778986472967)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.649008542166)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.729391460598)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.756734179751)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.668177741372)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.777259093895)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
7	0.408267436278		0
epoch 8
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.671772593853)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.750784704677)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.779329959323)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.802396788798)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.683585054823)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.75752748102)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
8	0.464832628289	1	0
epoch 9
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.784551417505)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.806500607739)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.824048852839)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.838456537114)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.739884304863)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.792079831913)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
9	0.294251503662		0
epoch 10
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.19809152782)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.421287690009)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.619994573026)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.183068402177)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.681797575608)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.452942908746)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
10	0.2817072601	1	0
epoch 11
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.233866323948)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.654672635147)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.733040786428)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.766232511889)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.792213252334)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.812551348422)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
11	0.480785056233		0
epoch 12
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.8289823337)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.842568903592)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.854014642532)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.863804779918)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.872285623903)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.879711470601)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
12	0.538877399331	1	0
epoch 13
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.677514259833)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.843040863747)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.846669360618)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.492219018307)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.668034010389)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.796779844749)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
13	0.294950303673		0
epoch 14
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.308152115776)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.791475296857)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.602527221112)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.801686550883)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.834166577203)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.846644858576)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
14	0.403769353605	1	0
epoch 15
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.301630370916)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.100463025553)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.805013988128)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.823483738438)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.837977882015)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.739124948449)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
15	0.316256568408		0
epoch 16
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.791588384151)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.811491955841)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.828128714977)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.841855915952)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.853409260208)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.863283587073)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
16	0.174838236322	1	0
epoch 17
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.871831659702)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.879312123119)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.80469283828)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.465887936274)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.836340421266)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.297578256159)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
17	0.262568096017		0
epoch 18
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0977736100086)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.444744196722)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.135552833687)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.800068974203)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.81873843105)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.322590837765)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
18	0.217261942947	1	0
epoch 19
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.833433231082)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.323485238885)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.111676459751)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00749442280395)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.792928200203)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0547814068114)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
19	0.252518787047		0
epoch 20
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.806306236868)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.825643052233)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.101430636046)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.825753921238)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.379010570655)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.839727204755)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
20	0.200747359616	1	0
epoch 21
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.247348178833)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.833834913744)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.843575944314)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.854922293021)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.17254673119)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.36213943919)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
21	0.372095626102		0
epoch 22
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.843886211891)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.218269817092)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0611199822659)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.828150306853)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0445338067392)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00427291024369)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
22	0.117306344164	1	0
epoch 23
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.834121789618)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.849000554021)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0804385207375)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.849569691601)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0511766301655)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00715876234908)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
23	0.105066699276		0
epoch 24
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00222175074959)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00115033809789)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.851673511434)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.863551607632)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0731776081881)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.863839492478)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
24	0.0958506550414	1	0
epoch 25
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.872373827677)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0748836462581)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.871999291846)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.879378616776)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.885979202139)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0967273615967)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
25	0.193461065167		0
epoch 26
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.883165941653)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0453547656852)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00723067202269)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00174054546048)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.44838832467)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.138462183311)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
26	0.371115237949	1	0
epoch 27
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0682547181531)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.870878445174)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.878526314252)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0647644595123)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0122508533152)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00197228753703)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
27	0.368306515419		0
epoch 28
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.876385995422)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.235147299893)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.840851932315)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.859314286865)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.868283788814)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0863267066979)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
28	0.0948161874299	1	0
epoch 29
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0177655672049)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00222985563055)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.863530113257)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.87353811035)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0647960604416)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0120233787708)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
29	0.0907628023772		0
epoch 30
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00203403496146)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.871612771387)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.880426912207)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0608628567856)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.880805054574)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.887300886078)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
30	0.0881208491657	1	0
epoch 31
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.893037218904)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.898188838616)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.110154364312)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0260879821477)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00190434812649)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.890032254387)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
31	0.0756645838329		0
epoch 32
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0268939411331)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.89353201346)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0287646116049)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00331851554965)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.895436899403)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.901123571254)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
32	0.074881387749	1	0
epoch 33
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0477915675311)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.446005953938)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.902125686177)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.912205422159)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.215213758352)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0630839336969)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
33	0.0752697731003		0
epoch 34
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.89355270881)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.898541119335)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.90316305403)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.90736150447)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0875051211413)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.019895759949)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
34	0.069229066681	1	0
epoch 35
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.902111238878)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.906835070938)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0427333670207)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.907269286322)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0283097161555)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.908705353973)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
35	0.0642848454101		0
epoch 36
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.91266377342)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.916058210764)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0624352974321)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0132982921006)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00151532245373)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.913194608537)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
36	0.0604652298433	1	0
epoch 37
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0210553884745)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00216664679293)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00112034498904)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.9149389105)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.918701217286)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.9216297834)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
37	0.0665170457138		0
epoch 38
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.924349909587)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.926880268682)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0876372829368)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.465818352427)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.924276405091)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.203900125106)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
38	0.0701338466546	1	0
epoch 39
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.920345373929)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.921287251068)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.080734911658)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.919001246118)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.921427834896)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0498058139983)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
39	0.0563787411582		0
epoch 40
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.920912532581)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.923557657944)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0427288417777)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0083148956387)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.922405437572)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.925413568717)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
40	0.0563270873088	1	0
epoch 41
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0338034816911)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.925664051461)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0221589012268)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00298275742753)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.926151521515)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.928922843921)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
41	0.0538682995344		0
epoch 42
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0326037476887)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00585884287503)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.92845760729)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0165003285809)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00162045633821)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.929558990204)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
42	0.0494549182002	1	0
epoch 43
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0167165147773)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.930899143129)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0177578172213)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.931959247628)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0177083509075)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00207956240532)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
43	0.0476109515992		0
epoch 44
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000875527816794)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000394002205299)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.932723860148)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.935044507457)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.936895895571)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0438981905881)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
44	0.0454761984641	1	0
epoch 45
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.936344619849)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0215438519114)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.936715067267)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0173124586416)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00216946142585)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.937215652077)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
45	0.0442172719188		0
epoch 46
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0146456617049)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.938270543876)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0156755864876)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.001805091162)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000784408644101)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.938902030576)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
46	0.0431575226045	1	0
epoch 47
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.94081179709)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0273084793287)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00494910138764)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000896153214726)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.940448048003)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.942261628283)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
47	0.0439257236273		0
epoch 48
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.943717910405)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.945101506284)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0494908909509)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.944208127591)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0207989065051)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.944304349279)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
48	0.0399164014174	1	0
epoch 49
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0154458437829)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00198566358321)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000719091692358)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.944661353131)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0133466291911)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.945474693252)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
49	0.0388139661375		0
epoch 50
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.946872647057)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.948102529341)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0356392049623)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00742973923273)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000915345427122)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.94712354203)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
50	0.037394669312	1	0
epoch 51
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0122220391204)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00125646574276)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000650933773536)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000269760171346)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.947767912393)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.949151865325)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
51	0.0388463700385		0
epoch 52
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.950276412078)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.951351718702)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0437115545905)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.009695891784)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.949949919313)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0104922932752)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
52	0.0349463196756	1	0
epoch 53
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.950586937735)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0121460072924)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.951135399374)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.952251405162)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0221899026487)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00405748973774)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
53	0.230614201083		0
epoch 54
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.951995461532)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0106567236653)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.952597139752)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.558190740199)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.166133598836)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.951654018001)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
54	0.392726527224	1	0
epoch 55
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0799625564459)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.019588886311)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00125509751)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.94700571884)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.230136222749)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.931511427892)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
55	0.0452487680326		0
epoch 56
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00361816431035)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0034896494613)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000617905037645)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.000118512993709)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (8.02457641168E-5)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.936224637504)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
56	0.0450559246982	1	0
epoch 57
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0159143970974)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00178491499367)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.937050312404)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.01473316705)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.938112594908)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.939928538013)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
57	0.0459608659163		0
epoch 58
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0283456604248)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.94001675809)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.941592692661)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.943084787382)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.041944646642)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00890205134755)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
58	0.0411822759136	1	0
epoch 59
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.941768653215)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0126626023388)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.942646309681)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0143201093531)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00162648846294)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000722482111063)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
59	0.0401596894224		0
epoch 60
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000317964475748)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-2.48722594783E-5)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.943230071566)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.944867870681)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0255372931842)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.944953600045)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
60	0.0396684774526	1	0
epoch 61
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.946278334795)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0273521585674)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00517706913035)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.945824705719)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0120710747399)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.946592957059)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
61	0.0379974713858		0
epoch 62
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0133220862872)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.947225863304)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0134105321113)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.947822123607)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.949094698478)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.950222252115)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
62	0.0420654090579	1	0
epoch 63
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.951299939302)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0442307628653)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.950574935075)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.951476460055)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.952500280641)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0382187030122)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
63	0.0344542366516		0
epoch 64
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00828259559679)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000898949644221)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.95136844497)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0110400453407)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.952015514212)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0119262214046)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
64	0.0335873216206	1	0
epoch 65
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00136992845704)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000597777993413)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.95239415183)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0113793027911)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.952991101102)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0117719728223)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
65	0.216330928641		0
epoch 66
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.953467142017)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0117436905781)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00137841710688)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00058097436411)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000261326698225)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-2.14670272491E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
66	0.0717375862036	1	0
epoch 67
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.953820141265)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.954895776664)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0205235771098)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.954955454368)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.528196119056)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.956391730965)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
67	0.410374794192		0
epoch 68
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.959968204411)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0247882591127)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0277888268137)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00922970346004)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.938456065153)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.01474365877)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
68	0.0428767618589	1	0
epoch 69
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.939383418721)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.941120857607)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0277898310218)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00508775424332)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.940727211899)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.942470048282)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
69	0.0435420288296		0
epoch 70
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.943915894846)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0371402861023)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00766172278946)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.942896433599)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0125190923495)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.943743764433)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
70	0.0399713319837	1	0
epoch 71
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.945244709449)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.946552440292)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.947797882327)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.047428436091)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0105486382667)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.946160075309)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
71	0.0379506043816		0
epoch 72
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.947543809797)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.948742206038)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0328966673052)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.948464825135)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0167283970897)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.94873606461)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
72	0.0367024522892	1	0
epoch 73
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.013700836714)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.949241375291)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.950439139818)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0232954447021)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.950489713555)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0145079065058)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
73	0.0347771383282		0
epoch 74
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.950857711678)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0128209368086)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00155814221964)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000620385249412)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000285951488278)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-2.47166111924E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
74	0.0344947127244	1	0
epoch 75
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (1.64497979037E-5)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.95121670542)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0119089382265)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.951831296114)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.952915567951)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.953877794337)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
75	0.0388958669876		0
epoch 76
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.954800770678)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.955686630148)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0497464877305)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.954764316396)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.955451051005)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0276550124934)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
76	0.201823908083	1	0
epoch 77
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.955265585951)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.487119480464)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.158595193349)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0763495799283)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.950349274127)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.951018620337)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
77	0.0379606981643		0
epoch 78
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0241677741393)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0045274193904)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000755064304382)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000558503250378)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.95069647433)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0120000828022)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
78	0.034427525534	1	0
epoch 79
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00133805548359)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.951190873884)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0111918392293)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0011467419824)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000597080394028)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000246980363851)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
79	0.0341371293072		0
epoch 80
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.951722811555)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.952901788258)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0214928944918)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.952966855548)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0136286074874)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00185018902351)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
80	0.0331364190203	1	0
epoch 81
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000609030095582)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000306362672929)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-3.09319362403E-5)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.953168044295)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.954274854809)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.95518122195)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
81	0.0376468240529		0
epoch 82
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0300523054618)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.954918676422)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0147697873167)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.955104890672)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0119335914187)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00149081377418)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
82	0.031571811581	1	0
epoch 83
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.955354315367)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0101416891986)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00103377499243)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000542468955615)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000223744007078)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-1.4775950183E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
83	0.0312544675109		0
epoch 84
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (1.40577726183E-5)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.955799150785)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.956782935051)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.957591274491)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0282838293451)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00585925749997)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
84	0.0304225528095	1	0
epoch 85
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.956982330774)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00920192970386)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.000851383993187)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.957368918375)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00972558013099)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00100241873434)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
85	0.0298754082701		0
epoch 86
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000517342823891)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.957762585947)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.010033908625)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00109766885084)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.958129863947)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.959004182575)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
86	0.0311604175369	1	0
epoch 87
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.959730524404)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0261316899363)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00537577832363)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000691239070595)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.95919813923)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00928485941518)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
87	0.0285423209692		0
epoch 88
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000957203825528)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000493850745977)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.959567625381)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00957937396154)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.959995057501)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00991723543607)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
88	0.0280573411857	1	0
epoch 89
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00115197448411)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.960241823945)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.961028264352)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0169399213965)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.961091254215)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0110224570982)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
89	0.0273648113536		0
epoch 90
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00148110360194)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000496598978411)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.961224291506)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.961981467784)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0168626482043)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00303676404604)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
90	0.0269830460871	1	0
epoch 91
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000559039570338)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00038828933961)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-5.62321394243E-5)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.961860336235)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00918189111556)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.962232538036)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
91	0.027060260546		0
epoch 92
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00936291700633)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00109201325928)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.962449738696)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00845910664387)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.000864948712953)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.962746090787)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
92	0.0265302419256	1	0
epoch 93
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.963436526315)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.964012597274)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.964570683602)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0303621449631)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.96422411005)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0128042647055)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
93	0.0253077919784		0
epoch 94
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00206273868781)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00048785173701)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000291859960847)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-3.68554868157E-5)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (1.37663682521E-5)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.964156212087)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
94	0.0256203589638	1	0
epoch 95
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00858552361716)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.000961758319537)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.964410819654)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00800227905426)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.000819494434721)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.9646766331)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
95	0.0251757644842		0
epoch 96
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00795636472241)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.965003707295)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00854763387675)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.965268352142)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.965825759244)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0155294179309)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
96	0.0242275345255	1	0
epoch 97
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00283272945095)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000505519775162)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.965696087242)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00787506245931)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.966007172638)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00831889619614)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
97	0.0238709485829		0
epoch 98
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000961342917181)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000415515505734)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.966191994283)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0079165526237)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.000863514765141)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.966426141131)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
98	0.0239449534798	1	0
epoch 99
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00753174189523)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.966720992138)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.967235490459)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.967696976936)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0212690797581)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00440071370874)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
99	0.0230929266435		0
epoch 100
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.967346411343)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.967856614401)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0133697217806)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.967910535482)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.968358011588)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0153085272197)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
100	0.0224650792424	1	0
epoch 101
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00286893730447)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000478446135982)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.96821192054)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00724772039842)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.000764300107829)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000381068649747)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
101	0.0223234936907		0
epoch 102
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.968430219037)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00737921718852)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00080657016251)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000380596406871)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.968638507535)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00732405652331)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
102	0.0220026485749	1	0
epoch 103
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000799902802215)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000377917797026)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000162250866968)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.968849813303)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.969334622874)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.013591946539)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
103	0.0217326385049		0
epoch 104
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00245746960885)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.96924163927)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.969701697934)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0127721280624)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.96974493329)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.970141201914)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
104	0.0232085414636	1	0
epoch 105
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0144369073063)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.002707344159)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000450781086655)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000333789113655)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-5.07227298189E-5)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.970022754131)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
105	0.0214804309186		0
epoch 106
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.970470862529)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0130786033429)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.970497660023)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00831481026972)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00112607478771)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000372357840792)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
106	0.0208112106114	1	0
epoch 107
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.970569097143)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.971002321126)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0126571903191)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.971031975355)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0081260145552)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00109653113307)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
107	0.0204371977841		0
epoch 108
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000364938714141)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.971102644245)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.97152013644)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.971867728588)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.972206926672)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0236621974717)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
108	0.0201413568431	1	0
epoch 109
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.97199309856)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00992647944685)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00160027646823)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000377963814052)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.971942530176)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00644250503399)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
109	0.0197003380978		0
epoch 110
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.000691834575555)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000335501653516)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.972109292752)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.972497844451)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.9728217642)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.973138135368)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
110	0.0247726234709	1	0
epoch 111
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0228541038102)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.005014928302)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00052335690561)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000537257072119)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-9.78184639068E-5)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (1.75477517413E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
111	0.0192722232985		0
epoch 112
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (1.23878924956E-5)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (1.81703191215E-6)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-5.18603102129E-7)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.972744547033)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.973114037871)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0118363948301)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
112	0.019055271858	1	0
epoch 113
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.973136757795)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.973446016053)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.012864483728)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00241834090727)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000400204558701)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.97334034393)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
113	0.0190825106606		0
epoch 114
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.973695360937)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.973991442243)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.974280930621)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.974563952893)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0267647300804)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.974285671774)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
114	0.0193674017547	1	0
epoch 115
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0100142022721)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00170656254262)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.974195127507)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.97451910778)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.974796793765)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.975068478081)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
115	0.0227840514648		0
epoch 116
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.975334285689)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.975594407048)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.9758490243)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.035370093122)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00840188507497)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.975121040314)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
116	0.0176922639844	1	0
epoch 117
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00454549860527)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.000313993096757)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.975245657155)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.975548663886)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.975804172274)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.976054394639)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
117	0.0219449791819		0
epoch 118
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.976299425053)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.976539424963)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.976774549026)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0340889833893)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.976371520392)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.976522397267)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
118	0.244601810792	1	0
epoch 119
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0156200295898)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.976445770506)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00753412802266)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00113924344305)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.976444738883)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.603220777715)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
119	0.410469490193		0
epoch 120
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.165332576389)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.97581601005)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.159035874064)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0116302355276)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.967514250125)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.968099648568)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
120	0.0281926786058	1	0
epoch 121
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0244889882461)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.967884382188)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0109450118143)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00171449264603)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.967848673587)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00708706690753)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
121	0.02255032961		0
epoch 122
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.000709083461953)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000382574775416)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.968069947892)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00747314524527)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.000817706349052)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000385213975451)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
122	0.0224277064271	1	0
epoch 123
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.968282865561)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00741090900858)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.968544104774)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00769710911303)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.968754504193)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.969204212885)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
123	0.0236354531311		0
epoch 124
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.969611365178)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.97000777801)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.026095722281)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.969747363533)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0108445465593)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.969773748976)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
124	0.0218445868737	1	0
epoch 125
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00806444792955)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00103434450589)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.969873236058)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00669136616708)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.970109429282)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00723717607905)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
125	0.0210078568277		0
epoch 126
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.970302040149)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.970708114011)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0131958056913)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00240469601269)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000430244739686)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.970614102127)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
126	0.0210138987336	1	0
epoch 127
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.971046254801)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0125241518997)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00224209901467)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.970972398)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00627991785615)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.971189178717)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
127	0.0206896891814		0
epoch 128
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00693616991388)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.000792710237919)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.97132092067)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.971726913656)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0120648879131)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00214737039965)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
128	0.0200405301201	1	0
epoch 129
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.971661329055)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00612942194851)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.971867890342)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.972234948836)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.972565207992)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.972887638004)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
129	0.0251100025157		0
epoch 130
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.973202462686)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.973509950682)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0339867318928)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00795212581572)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.972779529031)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.973114335381)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
130	0.0202173272109	1	0
epoch 131
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.0105426123158)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.973163156588)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.973477166372)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0126163084214)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.973480564792)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00761042025714)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
131	0.220334819609		0
epoch 132
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.973579590257)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00667881221751)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.000812962418545)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.539783722909)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.153684337336)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0763753164587)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
132	0.0216512123591	1	0
epoch 133
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00832594562788)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00390913727243)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00168246769975)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000124720510205)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.000102169699885)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.970106605114)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
133	0.0214233655169		0
epoch 134
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.97055147344)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0130517365746)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00236141478783)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.970465131888)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0063847250915)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00062272215657)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
134	0.0207576629751	1	0
epoch 135
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000348849152117)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.970651090401)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.97108177548)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.971440257682)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.018410951957)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.971341720658)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
135	0.021042712337		0
epoch 136
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.971668518736)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.972012637686)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.972348316055)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.972675913829)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0314714836061)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00725916259849)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
136	0.0197969596322	1	0
epoch 137
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.972009902675)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00541385060014)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.972202085349)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.972563153395)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0120794631531)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00218169442365)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
137	0.0194546903403		0
epoch 138
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000398964344257)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000278265513627)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-4.04319141873E-5)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.972498071999)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00651667661204)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.972689835019)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
138	0.0196421792517	1	0
epoch 139
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.973033100473)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.973344477645)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.973648685024)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0227113126411)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.973450326385)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00944762898528)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
139	0.0187898467451		0
epoch 140
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.973471154597)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0070354703839)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.000901804847315)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000328339713105)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000157512691211)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-1.46861296916E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
140	0.0186988116214	1	0
epoch 141
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.973555888463)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.973903557288)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0114830522383)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.973924812019)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.974215982167)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.974500448301)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
141	0.0217408306217		0
epoch 142
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.017584347366)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.974398764752)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.974654073677)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0133940601436)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.974631409727)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00750698340958)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
142	0.0178972043686	1	0
epoch 143
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.97471201444)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.974999985266)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.975267242097)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.975528791828)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0212737582919)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00468828586301)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
143	0.0175512283287		0
epoch 144
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000482065695154)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.975174089867)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.975481955888)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0102878701328)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.975509452791)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00676183536453)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
144	0.0172628884066	1	0
epoch 145
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.975603351138)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.975872990832)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0109285996551)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00200207991819)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.975806965616)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00517733977232)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
145	0.0170049012231		0
epoch 146
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.000503118592495)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.975927924691)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.976213567803)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0100910933312)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.976237289606)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00657536782272)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
146	0.0167525177897	1	0
epoch 147
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00088229420763)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.976284463464)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.976560199736)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00988919378336)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00175626267541)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000334424015259)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
147	0.0166065527109		0
epoch 148
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.976515889372)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.976790656955)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.977020665975)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.977246166346)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.977467227336)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0235736100222)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
148	0.0165269915091	1	0
epoch 149
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00535982567828)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.977073085369)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.977314465189)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.977534162884)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0134717291502)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.977488516264)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
149	0.0165173928334		0
epoch 150
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.977692195481)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.977904628023)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0157841766405)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00334048451237)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.977706835914)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.977941459073)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
150	0.0167009966768	1	0
epoch 151
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0089657023109)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00156556729308)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000310146907427)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000205883301513)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.97791489141)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.978157269658)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
151	0.016716335105		0
epoch 152
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.978360796823)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.978560572654)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.97875664894)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0223306536727)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.978561613142)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.978714148785)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
152	0.0173581038709	1	0
epoch 153
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.978907471295)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.979097206917)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.979283519393)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0250382724342)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.979046638189)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.979181666775)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
153	0.0171907367397		0
epoch 154
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0128570339331)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00262324816168)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000346328797211)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000299903931675)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-5.02687506915E-5)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (1.09224370594E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
154	0.0148089986762	1	0
epoch 155
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (6.861333682E-6)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (9.10151793043E-7)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.979056732981)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.979273867053)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0090260075441)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.979287607857)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
155	0.0150758435678		0
epoch 156
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00575386435309)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.979352260868)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00514915953122)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.000623171261915)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000249897047719)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.979411556747)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
156	0.0147911428749	1	0
epoch 157
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.97962214911)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.979799111655)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0127916574084)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00262827580852)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.979670153019)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.979866282564)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
157	0.0152611261923		0
epoch 158
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00820749586215)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.979887625458)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00548282936526)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.979951794157)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.980133387131)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.980301547343)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
158	0.016528954422	1	0
epoch 159
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.980466867402)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0167203064028)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0036762970002)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.980251262788)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00393926817201)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.980348088486)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
159	0.014151251515		0
epoch 160
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00461689263985)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.000520282393527)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.980410832364)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.980599006069)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.980759302843)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0119745493131)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
160	0.0137434479486	1	0
epoch 161
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.980718819256)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.980866360487)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.009793701838)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00188560919588)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.980799835213)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00403882973588)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
161	0.0135131884456		0
epoch 162
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.980893365098)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0045232970453)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.000515358109448)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000227863100601)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.980952911876)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00436381755872)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
162	0.0134066310096	1	0
epoch 163
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00047600183096)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.981026226474)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00416504402844)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.981119205216)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00449985650769)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.000517294860535)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
163	0.0133126012794		0
epoch 164
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.981174489053)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00412600878212)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.981265953051)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00446288756873)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.981340827133)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00450883691491)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
164	0.0131481747541	1	0
epoch 165
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.981413156962)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00450242543216)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.981484574301)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.981640876766)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.981784329642)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.98192554831)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
165	0.0166804426561		0
epoch 166
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.982064571789)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.018877430383)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.981924501828)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.982032212325)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.982169629204)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0140959540224)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
166	0.0128439544792	1	0
epoch 167
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00305247073971)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000333779354786)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000330978043932)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.982014113559)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.004158768626)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.000460369405064)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
167	0.0126730494726		0
epoch 168
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000212999582692)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-9.22094462101E-5)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-6.93449101374E-6)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.982082639314)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0041813689329)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.982163346338)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
168	0.0128721667018	1	0
epoch 169
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00429009851449)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.982229810957)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.982373774713)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00778878326431)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.982381760606)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00489795619095)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
169	0.0124344419971		0
epoch 170
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.000665637704076)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000218760972175)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.982406212845)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00400521320893)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.000434333612562)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000207485086537)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
170	0.0123953389201	1	0
epoch 171
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-8.86928143045E-5)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.982472315955)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.982624256934)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00752354783624)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00135720890662)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000248972755091)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
171	0.0123078150944		0
epoch 172
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.982594983808)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.982745232039)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.982871831468)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0107069030393)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.982838790033)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.982955246225)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
172	0.0134562849861	1	0
epoch 173
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.983078800105)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.983200548008)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0153806817388)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00342388174947)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.983021729242)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00333699850685)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
173	0.0119568409835		0
epoch 174
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.983092830802)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00394923608172)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.983155575016)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00404700915806)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.983214760132)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.983343107184)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
174	0.0127971515783	1	0
epoch 175
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.983461048996)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0106201160423)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00219272713348)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.983371228196)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.983501931905)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00667590021973)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
175	0.011684872218		0
epoch 176
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00116771126585)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000230441573758)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.983484212992)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00370561548419)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.000394547403358)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00019386277483)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
176	0.0116378228172	1	0
epoch 177
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-8.19681164477E-5)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.983543360317)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.983677188134)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00705474153032)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.983685796301)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.983798966731)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
177	0.0126139884765		0
epoch 178
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00770414557907)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.983798882039)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00459495013061)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.983834976755)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00402629299922)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.983885602632)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
178	0.011644775997	1	0
epoch 179
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.984003465934)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.984112190802)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.984219442716)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.984325243324)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0164300548932)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00373724831284)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
179	0.0112223824252		0
epoch 180
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000342309035564)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000387976062038)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.984133032825)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.984258158493)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00675369237959)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.984266686146)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
180	0.0114667111058	1	0
epoch 181
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.984372001249)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0074163155021)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.984372031367)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.984474185195)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00749408761177)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.984472726125)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
181	0.0113473873996		0
epoch 182
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00442060742527)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.000615335151313)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.984487246728)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00335893486793)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.984548984192)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00365819107465)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
182	0.0108935715159	1	0
epoch 183
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.000419751141416)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00018351599138)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.984587163331)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.984704719512)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.984804060491)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00953189977574)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
183	0.0108525517548		0
epoch 184
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00195676444617)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000253715899801)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000222506704116)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.98473320825)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00352363511328)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.984792475677)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
184	0.0109842997492	1	0
epoch 185
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.984898021684)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.984994863784)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00958195429855)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00197650198634)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.984921591431)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.985028948216)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
185	0.0113535800843		0
epoch 186
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.98512410575)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.985218062261)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0118955455162)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00258673781315)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.985106399484)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00296895357078)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
186	0.0104940852491	1	0
epoch 187
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.985161402229)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00346439370637)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.000390891614123)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000175516284576)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-7.69055640335E-5)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-5.95414479536E-6)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
187	0.0104655487352		0
epoch 188
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.985199479757)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.985307433716)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00633637256028)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00114296347677)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000209717343188)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000145963476784)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
188	0.0104024785216	1	0
epoch 189
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-2.11731205813E-5)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.985289265048)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00341932963722)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.985343520173)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00350872353201)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.985388264127)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
189	0.0105602483349		0
epoch 190
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00351611884179)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.985432300389)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00350858607348)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.000408239466049)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000170882847934)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-7.70886975068E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
190	0.0102773817981	1	0
epoch 191
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-1.31503575652E-5)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.985465912358)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.985570010284)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.98565837549)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00905416936439)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.985633919632)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
191	0.0105835286633		0
epoch 192
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00446794464067)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.985652765845)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00359986445264)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.438034680981)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.184835575247)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.986160355697)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
192	0.112562996571	1	0
epoch 193
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.157495643318)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.98071069737)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00551791925722)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.981251913454)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.981409376948)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.981556498246)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
193	0.015491570364		0
epoch 194
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.981701295145)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.981843812654)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.981984104549)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.982122222908)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.982258218186)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0299002356675)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
194	0.0137258258235	1	0
epoch 195
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00719028808603)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000520007660715)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000710395331945)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.981783223642)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.981949201077)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00773855651032)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
195	0.012793370282		0
epoch 196
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00138923139734)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.981919803801)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.982077334483)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00739732891177)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.982092674308)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0048860645022)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
196	0.0126353398674	1	0
epoch 197
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.982142840877)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.982286613696)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.982420093591)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.98255156683)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0148709594262)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.982465075705)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
197	0.0130685704852		0
epoch 198
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.982575858493)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00961442118628)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00189961795506)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000275174568144)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.98250525575)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00387266564602)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
198	0.0123171182405	1	0
epoch 199
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000403372372089)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000204931715234)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.982571215597)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00398924212346)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.982649075686)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00415668135405)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
199	0.0122289891087		0
epoch 200
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000482322938389)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.982694635631)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.982841170736)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00718015178354)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00127554230272)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000242739299144)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
200	0.0121504416252	1	0
epoch 201
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00016515544982)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-2.35212789966E-5)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.982821028465)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.982966774179)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00737912722309)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00133175229102)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
201	0.0120652003835		0
epoch 202
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.982938975262)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.983079076389)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.98320080079)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0102933710688)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.983171599577)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.983284084416)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
202	0.0131849004825	1	0
epoch 203
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.98340288807)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.983519989784)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0150412921643)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00334667168336)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.983348713696)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00327223040308)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
203	0.0117275214086		0
epoch 204
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.000277065041158)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.983405017319)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.983540179326)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00690281970298)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00122809424167)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.98351829389)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
204	0.0118239083626	1	0
epoch 205
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00350125206286)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00034260766034)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000191018694198)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.983575559524)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00375695114097)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.000411121849464)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
205	0.0115763088023		0
epoch 206
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000193660091198)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.983631094163)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.98376377901)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.983875792976)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.983986279064)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.98409524752)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
206	0.0161239736584	1	0
epoch 207
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0164441874617)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0037328318056)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.983901251864)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00309797667864)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.000251254555057)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000182509552324)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
207	0.0113454374498		0
epoch 208
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.983955270695)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.984082702561)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00682095006299)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00122593283852)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.984059581002)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00337852329845)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
208	0.0112283079228	1	0
epoch 209
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.000329788291442)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.984111733607)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0034801783441)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.000358060597308)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.984163801779)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00346474994879)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
209	0.011155022738		0
epoch 210
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000355883503367)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000184646907172)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-7.64788791362E-5)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-5.11275698551E-6)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (4.78899347863E-6)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.984218405615)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
210	0.011371995219	1	0
epoch 211
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.984341209435)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.984445355724)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0098331942553)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00202256919639)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.984368434279)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0032075477509)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
211	0.0110118230987		0
epoch 212
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000296210236477)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000179586488747)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.984419714557)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.984539839526)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00661510898288)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.984548239108)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
212	0.0112619128135	1	0
epoch 213
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00424661167969)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.000572743888639)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000190809192856)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-9.54298933698E-5)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-9.54703833571E-6)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (5.15216143189E-6)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
213	0.0109106680545		0
epoch 214
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.984569985406)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.984687346101)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00660736778284)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.984694930737)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00421556494885)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.984730093005)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
214	0.0110508918384	1	0
epoch 215
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.984834881459)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00677083940943)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00123937818467)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.98480921795)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00320679413128)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.984867794138)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
215	0.0109208508438		0
epoch 216
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.984973004594)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00653261460352)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.984979736014)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00414453929223)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.000561377004118)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.984997149288)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
216	0.0107789822892	1	0
epoch 217
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.985106750069)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00618925489647)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0010976446978)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.98508956692)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00316127669242)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.985146098194)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
217	0.0107215455209		0
epoch 218
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00350205557622)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.000400147481111)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0001761225944)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.985181712806)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00337325054414)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.000367904514945)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
218	0.0104475785822	1	0
epoch 219
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.985225919649)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.98533261521)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.985423928099)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.985514115915)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.985603185321)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.985691157119)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
219	0.0159505402083		0
epoch 220
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.985778051582)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.985863888485)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0230984988705)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00553353835925)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000407992484055)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000548747577708)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
220	0.0102010503353	1	0
epoch 221
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.985573955908)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00327787039847)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.985628124574)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00342582220615)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.000397247526978)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000170778134051)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
221	0.0101398469656		0
epoch 222
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.985660293265)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00326103911152)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.000355526555668)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000168443400311)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.985702698028)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00325475646624)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
222	0.0100758870712	1	0
epoch 223
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.98575497612)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00339614274093)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.985797505631)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.985889242622)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00619510420404)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.985894442105)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
223	0.0102908231427		0
epoch 224
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00389916577911)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.000529677143293)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00017421230138)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.985910104317)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.986008262494)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00594823081366)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
224	0.0099173177404	1	0

Success in 225 training rounds!

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