epoch 0
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.409491395996)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.273587172379)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.160299262628)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0870429950231)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.00178266287241)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.515997388845)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
0	0.538689839383	1	0
epoch 1
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.700466314014)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.739070467533)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.587563412168)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.433314783597)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.64797796297)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.702280342019)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
1	0.556889676224		0
epoch 2
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.745206263145)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.776188926028)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.643305822791)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.735199045951)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.183256846042)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.577139391219)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
2	0.361142720132	1	0
epoch 3
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.691661408741)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.270964112129)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.701311296532)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0414488066286)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.752584275255)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0443512067583)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
3	0.355295171117		0
epoch 4
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.783871966828)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.663611392823)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.746211321524)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.775808521922)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.799645234714)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.679329607399)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
4	0.265871250768	1	0
epoch 5
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0589691549394)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0176639160284)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.300360198399)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.012860365764)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.029437147789)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0160627196692)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
5	0.230308983023		0
epoch 6
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.712037944741)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.760357576267)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.787374060295)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.808714030531)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.825849384277)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.839956723198)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
6	0.401153235155	1	0
epoch 7
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.851799242566)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.324897402346)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.216787170744)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.88270950994)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.112816600159)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.729813330437)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
7	0.387116798579		0
epoch 8
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.319153118525)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.854415160326)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.859917644683)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.77390104284)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.105033127801)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.806274971697)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
8	0.396331917372	1	0
epoch 9
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.82435983563)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.838708279677)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.85074310176)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.860992688293)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.869839558133)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.789579347666)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
9	0.259396780803		0
epoch 10
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.194601245118)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.694018878244)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0725719046401)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.729837468256)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.0352385243285)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.765840398598)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
10	0.358483614297	1	0
epoch 11
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.797753558313)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.126256239433)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0836190099566)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.038978218683)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.625470468415)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.799452205046)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
11	0.300220531342		0
epoch 12
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.832674942129)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.108235311261)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0565087789444)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0243479945425)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.566007567784)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.498119663714)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
12	0.227901098258	1	0
epoch 13
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.112861662589)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.767918013519)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.50716232621)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.180739996293)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.759068008288)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.786589757921)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
13	0.260022188406		0
epoch 14
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.38373308219)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.761081147038)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.077868026037)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.0567006763789)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.515577699867)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.776773106257)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
14	0.281247003563	1	0
epoch 15
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.815682193672)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.831201135993)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.411637004657)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.484790105457)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.783114482634)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.397480183541)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
15	0.245207293362		0
epoch 16
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.774083269346)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0118358054348)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.808047016223)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0406092489405)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.827195744709)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.844441477782)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
16	0.259908328038	1	0
epoch 17
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.8555499556)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.127138020916)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0810981055143)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.564638338617)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.430683780357)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.824898908224)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
17	0.284764610818		0
epoch 18
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.849859802213)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.860060209701)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.531420628529)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.411519807436)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.817054958485)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.843676876655)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
18	0.271877071833	1	0
epoch 19
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.85476495981)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.864454189894)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.518625760875)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.84862051194)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.418344872403)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.834536938002)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
19	0.257860507711		0
epoch 20
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.857108221771)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.866323836365)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.874485687454)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.24523431676)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.110796009404)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0661613378977)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
20	0.246371186677	1	0
epoch 21
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0367911804388)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.851038815395)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0252556963004)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00440535127969)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.860077407568)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.870660505407)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
21	0.267838030922		0
epoch 22
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00120981650633)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.876960468856)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00340911875065)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.33660367557)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.891569109056)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.136663826675)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
22	0.257380382407	1	0
epoch 23
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.882407429194)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.891937584816)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.633007867995)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.875851561071)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.23848375106)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.873357737152)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
23	0.24752560602		0
epoch 24
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.885834423335)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.122131146224)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.881969373235)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.891336431785)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.896626941549)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.901429289974)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
24	0.267987060512	1	0
epoch 25
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.905783730559)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.909752046887)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0434911324568)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.910313459995)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.669237010065)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.164078723229)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
25	0.160539479528		0
epoch 26
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.893362986347)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.121401557259)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0483867780936)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.891627892907)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0349120066954)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.895399639124)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
26	0.256031659888	1	0
epoch 27
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.603238960323)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.210273084896)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.888136181815)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.891474452776)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.273015284542)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.187677288977)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
27	0.17021790188		0
epoch 28
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.881355234377)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.885722273896)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.22598955208)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.874600520881)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.886689717759)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.892437380363)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
28	0.124363518396	1	0
epoch 29
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.111423517501)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.889249917203)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.89743765582)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.902137467424)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.906428059568)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.910340826981)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
29	0.244777151438		0
epoch 30
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0416112068363)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.91098457787)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.018275878969)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00426830357392)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.592391740815)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.897377045219)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
30	0.130829972241	1	0
epoch 31
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.908988582269)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.178032886992)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.901632754587)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0909012445372)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0350262911031)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0219590887466)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
31	0.220252971624		0
epoch 32
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.901200628081)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.906616402374)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.546057206275)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.89298509336)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.905124339393)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.909089794646)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
32	0.124870994463	1	0
epoch 33
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.912777908097)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.105053503773)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.222081248459)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.901278023219)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.122209586164)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.90825889006)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
33	0.114121755111		0
epoch 34
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.163695771491)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.900666045068)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0827340281116)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.902346650866)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.908482935763)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0359942344338)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
34	0.210639781825	1	0
epoch 35
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0116379175518)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.909337877621)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00956692184382)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000534386223887)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.510073984357)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.896939749937)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
35	0.116423299151		0
epoch 36
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.908237658827)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.911942829623)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0148874060147)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.914800655863)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.918375272354)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.921329351919)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
36	0.107570712724	1	0
epoch 37
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.924070863309)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.926620359043)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.928997796983)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.931220407796)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.15283491565)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.926073592169)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
37	0.22052510795		0
epoch 38
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.930504269785)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.932619925368)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.934617098098)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0714047964419)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0278926798414)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.93265237928)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
38	0.292766903889	1	0
epoch 39
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.935254066374)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.937091815476)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0165527919355)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.937877955833)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.461146138933)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.945584036757)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
39	0.253664840114		0
epoch 40
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.175615551551)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.07654221769)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.574170407549)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.932122130216)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.938607547135)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.223448118168)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
40	0.197968544052	1	0
epoch 41
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.101333798121)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0604470406912)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.469862653439)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.165974947594)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.103862163353)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.330217856725)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
41	0.127645339689		0
epoch 42
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.105066645698)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.898466646276)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.232615149424)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.888468457923)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0950739463541)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.897256431794)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
42	0.117188269043	1	0
epoch 43
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.901384871951)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.905748819786)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.909720111369)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.913355446618)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.916696760786)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.919779212998)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
43	0.162605106389		0
epoch 44
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.146402784773)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.914554329093)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.920114821823)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0709625674884)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.918820563691)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.3789651999)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
44	0.103523032861	1	0
epoch 45
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.911077196032)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.168021416753)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0713471724865)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.907799871987)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0498916810032)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.909707737069)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
45	0.141613814629		0
epoch 46
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.91459928455)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0197082670936)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.916250383877)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00739963310198)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.919243687582)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00127821109917)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
46	0.15693033605	1	0
epoch 47
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00252279104342)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.922323014848)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.925404396996)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00265627221452)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00391666189105)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.927752158551)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
47	0.17173983773		0
epoch 48
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.930390937482)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.0035498589633)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.932342181821)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00374105883259)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00408618385189)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.934630606928)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
48	0.184122615933	1	0
epoch 49
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.437502648014)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.118830893329)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0803352054378)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.043559603359)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.296418040614)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.911347525823)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
49	0.100243949867		0
epoch 50
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.918882119696)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.921772857211)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.924482988144)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.927004246265)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.929356317499)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.931556049589)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
50	0.122658980318	1	0
epoch 51
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.933618094077)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.296607161797)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.927316112056)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.932908959656)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0870870438129)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0258361223705)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
51	0.113459330244		0
epoch 52
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.935705530207)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.182623608756)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0796819018483)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.928369151002)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0550093259421)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.928977970209)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
52	0.138382392695	1	0
epoch 53
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0256228464913)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.930638931949)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.933369361387)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.935318025473)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.355911612836)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.111012973775)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
53	0.0733755203124		0
epoch 54
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0728408243474)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.927162357009)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.115290848829)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.923213030539)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.23250600249)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.128240391251)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
54	0.0738104958108	1	0
epoch 55
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0732794301475)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0412053686487)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0231969558016)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0992597225842)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.911487455975)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.914274321302)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
55	0.0686163524794		0
epoch 56
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0583203327789)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.913829027247)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0632300431284)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0575305921975)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.913733627404)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0421466563164)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
56	0.0636244826916	1	0
epoch 57
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.917663290283)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.920657659907)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.923447406008)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.926039927848)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0218790860144)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00292519812208)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
57	0.056933414122		0
epoch 58
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0435414513793)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.015290306228)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.92609319314)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0293220658577)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00956561516238)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00636202149707)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
58	0.101800518913	1	0
epoch 59
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.926637520001)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.929473139032)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00254220820169)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.244361893052)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.924169430999)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.929673879462)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
59	0.0761954054182		0
epoch 60
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.931836064241)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0916464398514)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0366413359498)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0227008576018)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00972067797863)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.928326294347)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
60	0.0503121225936	1	0
epoch 61
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0194261646007)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0054857575987)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00385765667114)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.929448973775)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00302610785028)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00136258259337)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
61	0.102336681672		0
epoch 62
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.931653638572)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000196560125044)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00246050826028)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.933807864156)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.936024442098)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.937819459865)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
62	0.120157880548	1	0
epoch 63
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.939514666858)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.941116960463)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.298007544389)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.935277101725)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0793241841885)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.9399169657)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
63	0.0564523629802		0
epoch 64
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0122783088577)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.94224471288)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.94404774131)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.058332579834)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0233286226912)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.943509098752)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
64	0.0451553412407	1	0
epoch 65
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0130654143751)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00133372713106)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.944566467848)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.946115204624)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.947380583872)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0405501383506)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
65	0.123590697263		0
epoch 66
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.946992884099)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.948741299692)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.949883073815)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.950975748476)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.95202053531)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0133172922373)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
66	0.142072723339	1	0
epoch 67
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.952442805294)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.953681016529)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00405804382433)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.35619637827)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.106903858153)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.946665116601)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
67	0.0611549542029		0
epoch 68
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.948954978239)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0784789955359)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.9472476911)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.949278290083)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0367946661245)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.948988988288)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
68	0.0371279928193	1	0
epoch 69
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.950589914215)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.951649678275)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.952665491551)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.312677550234)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.947454771969)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.951069976185)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
69	0.0913895542209		0
epoch 70
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.952101463207)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.953098111092)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0959731825827)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.954071989866)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.955798061826)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.08047235714)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
70	0.0379813567574	1	0
epoch 71
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0326748979987)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0753492467789)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.95358838093)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.954316077582)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0558363432763)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.953385369887)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
71	0.035826725446		0
epoch 72
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.954876024591)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.95575699086)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0243347705645)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00864478371271)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00557697063666)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.955569735515)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
72	0.131146767154	1	0
epoch 73
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00387912457679)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-3.33530270545E-5)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.956379244361)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.957337290433)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.958124737929)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.00161842982115)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
73	0.141044345056		0
epoch 74
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.958806964966)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.959649404991)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00305192276201)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00272245526589)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.960374413043)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.961145944342)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
74	0.152395440005	1	0
epoch 75
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.961797480583)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.962427335236)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.963036330135)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.963625498706)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.964195805892)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.964748154461)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
75	0.167417065816		0
epoch 76
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.965283389968)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.965802305249)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.966305644487)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.966794106917)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.967268350189)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.967728993432)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
76	0.180769263311	1	0
epoch 77
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.968176620053)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0146081859537)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00725997686227)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.968928041042)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00452515697144)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.969401395676)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
77	0.185735577009		0
epoch 78
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.969846746891)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (0.00389916481815)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.970252441863)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00274856872604)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.00219980486596)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0011438111044)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
78	0.188911771589	1	0
epoch 79
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.97071177084)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.971133867332)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00126602613144)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.971458295658)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.971858248713)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.972197573152)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
79	0.198108609433		0
epoch 80
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.00289337583893)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.97252930494)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.0021803735185)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (0.00187785263434)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.485980398809)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.967944988968)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
80	0.106266966094	1	0
epoch 81
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.97032420568)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.970697814916)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (-0.114508773566)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0962398529799)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0136560924746)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0110786023501)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
81	0.0360678893448		0
epoch 82
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.970179720158)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00304732337283)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.970507410807)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00206983761321)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.970865045572)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00170576924925)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
82	0.035651481939	1	0
epoch 83
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000557467109168)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.971211456612)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0020210877562)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000488638292853)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000287503578262)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.971561811284)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
83	0.0352645105907		0
epoch 84
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0713697573644)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0282273224009)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0130430958622)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.97069188804)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0541674378557)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.969933070725)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
84	0.170277419521	1	0
epoch 85
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.970634739598)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0256462085465)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.0385552075419)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.970516182698)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.97077240203)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.971139056767)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
85	0.173021543399		0
epoch 86
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0282140604906)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.970894504392)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.426895934596)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (-0.164482601939)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.968618210436)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0035987627629)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
86	0.0410786104567	1	0
epoch 87
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.00204124749232)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.969837225704)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00230690199586)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.00046083367296)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.970225159122)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0855937862574)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
87	0.0326123173394		0
epoch 88
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.968887477594)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0425207156818)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0168317054396)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.067312570609)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.0191720292887)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000368389145478)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
88	0.0306946245679	1	0
epoch 89
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0512113724691)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0216574623109)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.966931258551)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0344679095755)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00783754109552)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.967282706737)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
89	0.0266398033532		0
epoch 90
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0012556184186)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0332884978638)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0117062272926)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.96712696287)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00738041122289)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.967523579417)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
90	0.0248255788809	1	0
epoch 91
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.968013067441)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0239009274135)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00892276087828)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.967802066288)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.968364077527)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.968793798456)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
91	0.0256968667205		0
epoch 92
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00495975805377)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.0241698211853)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00669597686285)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.968911245057)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00173628108851)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.969292813096)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
92	0.0223607178141	1	0
epoch 93
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.969754741712)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0150045105122)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.969782545446)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.970307994958)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0124739701926)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.970611190316)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
93	0.0210888879758		0
epoch 94
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.970984458848)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.971345506938)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00931200907174)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.971463831265)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.971910534704)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.972248490666)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
94	0.169168792898	1	0
epoch 95
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.41140191876)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (-0.173642942205)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0569285261351)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.969602839195)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.970330042615)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0204551424594)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
95	0.0296621391115		0
epoch 96
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0515104672534)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0201207151869)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0339110783673)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.969388341977)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.969694260648)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.970088705684)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
96	0.0250009137956	1	0
epoch 97
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0284061612513)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0225328422217)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0253269183413)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.969329091626)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0204083357402)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.021078576023)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
97	0.022746182609		0
epoch 98
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00722944184141)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.969256211495)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00557101844175)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.969584239881)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.970071748966)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00116418930702)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
98	0.0246909076202	1	0
epoch 99
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (0.000563064132528)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.970388123109)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0248010996157)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.970733971076)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0106893105561)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.970780448642)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
99	0.0215465228294		0
epoch 100
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.0119505418022)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.971182449988)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00340245028218)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0101233748208)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.971272226366)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00504231937926)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
100	0.0205567610387	1	0
epoch 101
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00743337430556)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00233648920725)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00619403572434)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.971425632357)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.971859651973)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00240512681965)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
101	0.0200378092024		0
epoch 102
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.972099773176)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.972497575691)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.000276465866335)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.972774836693)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.973142324185)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.973451109074)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
102	0.0759499258585	1	0
epoch 103
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.973752865013)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.974047737854)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (0.00367897443575)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.405756673048)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.970186069676)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.142976156588)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
103	0.0409501757453		0
epoch 104
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0413181595282)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0548716483)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.972104132048)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.0310435813557)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.972641737594)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0068001077327)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
104	0.0272539643561	1	0
epoch 105
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.972823033411)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0024069981365)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0473665211734)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0174390807405)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0329815029013)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0194428808615)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
105	0.0229196136454		0
epoch 106
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.971850623967)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.00836408929487)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.972096329264)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0027195887314)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000270772317012)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.972379738838)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
106	0.0223837054836	1	0
epoch 107
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.972760451653)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00308885591022)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0277862906372)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.010152659083)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.972612930788)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.972942713828)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
107	0.0207090638049		0
epoch 108
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.973256231947)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.973562475737)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.973861681859)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.974154092461)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.974439938607)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0143687803012)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
108	0.0208472291641	1	0
epoch 109
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00514494075259)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0207043780156)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.9743989861)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0134644916376)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.010381433825)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00377731976695)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
109	0.0188489896264		0
epoch 110
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0126541768598)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.974130458642)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00770302804404)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00109943897196)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.974428476114)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.974748925861)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
110	0.0181025240854	1	0
epoch 111
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00894798489816)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.974827278605)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00381280279873)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00846234440865)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00250587451723)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00627335558662)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
111	0.017801615079		0
epoch 112
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.974925811956)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.975262552694)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.975524081014)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00184638641505)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.0066002721489)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00186408762276)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
112	0.0172766339089	1	0
epoch 113
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00411241209692)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.975608362299)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.975919311462)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00465001455745)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.976123100401)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.97638859755)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
113	0.0166391926113		0
epoch 114
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.976626742648)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00389588545559)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00019942757067)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.976804820578)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.977070890254)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.977295338064)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
114	0.0160443126802	1	0
epoch 115
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00350649785508)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00291009534415)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.977420551455)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.977683528597)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000779690259622)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00342730397658)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
115	0.0156833388298		0
epoch 116
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.977850221751)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00241084762406)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.000289719692697)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000310948076309)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.000103719141941)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (-0.000394878044229)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
116	0.0155440750509	1	0
epoch 117
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000506106197902)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.978038482447)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.978275694363)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00215655355069)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.431894636429)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.97477692025)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
117	0.113818373018		0
epoch 118
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (-0.162703646168)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.97657823639)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.977423361736)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (-0.0323000890073)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.060771753201)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0283027258636)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
118	0.025704477291	1	0
epoch 119
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0167501105265)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.976444390106)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.0437433479387)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0335898979224)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.976007073634)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0244600035258)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
119	0.0200388356738		0
epoch 120
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.976356308223)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.976543114609)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.976778252039)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00745173509733)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0261334432756)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.0104572292565)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
120	0.0183271356896	1	0
epoch 121
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00480931815658)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.000414055226724)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.976555211799)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0198993963468)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00754865578102)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.976431141591)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
121	0.0187776645489		0
epoch 122
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.976734464658)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0161784055946)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0128766229403)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00699950220254)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0089254658709)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.0056816106648)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
122	0.0168672276068	1	0
epoch 123
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.976556326603)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.976808088841)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.97703778666)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00549913203657)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.977142670785)
	Training set 5	input = (208, 0, 49, 1)	desired = (0)	output = (0.00908226399937)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
123	0.0162244149611		0
epoch 124
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.977377687068)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.977599193607)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00357563997467)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.0001511372669)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00608466773304)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.977671649071)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
124	0.0158486110406	1	0
epoch 125
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00428591891013)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00476276681507)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.977816406587)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00223129670076)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00399774205464)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.97801464288)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
125	0.015490735933		0
epoch 126
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00237472367259)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.978172619318)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00465056552719)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.978380377742)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00176794683368)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0023862060475)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
126	0.0151935071827	1	0
epoch 127
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000474445656946)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.000314251371934)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.978528205336)
	Training set 3	input = (228, 105, 116, 1)	desired = (0)	output = (0.00169541259913)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.978722695066)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.978941218538)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
127	0.0148170704706		0
epoch 128
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.979130304773)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00302415418734)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (6.26171849453E-5)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.979273920893)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00138609351434)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.979456013673)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
128	0.0144135996688	1	0
epoch 129
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.00113305219743)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.979630818378)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.001079961603)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.979803442235)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.980001837645)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00192140176343)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
129	0.0140537082721		0
epoch 130
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.980143507001)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00120019242948)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.980304816884)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.980492955797)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.980655024758)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00273042363266)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
130	0.0135960242689	1	0
epoch 131
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.980786895201)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.0013398838329)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.980935069744)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00103772508498)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.000344423673156)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.981082420919)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
131	0.0144513961565		0
epoch 132
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00118270731992)
	Training set 1	input = (228, 105, 116, 1)	desired = (0)	output = (0.116018289313)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (-0.0778955690707)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.980811157896)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (-0.017841317049)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.981213581928)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
132	0.0135337713555	1	0
epoch 133
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.981440559669)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00685270605044)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.981478369092)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.981667810869)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.981810797386)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.981951603357)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
133	0.0129618657028		0
epoch 134
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00466285237707)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.000589245768488)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.982051087851)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.00112731597091)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.982185888343)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.982339460186)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
134	0.0124962410519	1	0
epoch 135
	Training set 0	input = (0, 0, 255, 1)	desired = (1)	output = (0.982472126689)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0025944100294)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.982551458984)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.0008429499099)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (0.000247907499099)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (3.66852186462E-5)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
135	0.0124687204551		0
epoch 136
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.00407523924787)
	Training set 1	input = (208, 0, 49, 1)	desired = (0)	output = (0.00105669963635)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00240701623149)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.982637486809)
	Training set 4	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00126870854733)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.982757704041)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
136	0.012267673419	1	0
epoch 137
	Training set 0	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000184116218173)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.982885619674)
	Training set 2	input = (128, 80, 255, 1)	desired = (1)	output = (0.983030696979)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.9831531177)
	Training set 4	input = (0, 0, 192, 1)	desired = (1)	output = (0.983273792132)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (0.0016753193079)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
137	0.0121628196805		0
epoch 138
	Training set 0	input = (208, 0, 49, 1)	desired = (0)	output = (0.0054101950184)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.983384529294)
	Training set 2	input = (0, 0, 255, 1)	desired = (1)	output = (0.983506599776)
	Training set 3	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000787232568155)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00256496541728)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.983595432167)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
138	0.011566673521	1	0
epoch 139
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.983721573368)
	Training set 1	input = (0, 0, 192, 1)	desired = (1)	output = (0.983834181999)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.983945242386)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.984054773272)
	Training set 4	input = (128, 80, 255, 1)	desired = (1)	output = (0.984162806239)
	Training set 5	input = (228, 105, 116, 1)	desired = (0)	output = (0.00523069629335)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
139	0.0111607985173		0
epoch 140
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.98424908121)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.984358434581)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000642799330181)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.984439015815)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.00324692944608)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.984541574452)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
140	0.0108846299248	1	0
epoch 141
	Training set 0	input = (0, 0, 192, 1)	desired = (1)	output = (0.984651472451)
	Training set 1	input = (248, 80, 68, 1)	desired = (0)	output = (-0.00060854235839)
	Training set 2	input = (208, 0, 49, 1)	desired = (0)	output = (0.00160482438865)
	Training set 3	input = (128, 80, 255, 1)	desired = (1)	output = (0.984729769573)
	Training set 4	input = (0, 0, 255, 1)	desired = (1)	output = (0.984840848098)
	Training set 5	input = (0, 0, 255, 1)	desired = (1)	output = (0.984938423863)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
141	0.0107058428899		0
epoch 142
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.985034753443)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.985129848158)
	Training set 2	input = (0, 0, 192, 1)	desired = (1)	output = (0.985223731744)
	Training set 3	input = (0, 0, 192, 1)	desired = (1)	output = (0.985316427322)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00534379312593)
	Training set 5	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000699127725392)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
142	0.0103528849469	1	0
epoch 143
	Training set 0	input = (228, 105, 116, 1)	desired = (0)	output = (0.000723276921119)
	Training set 1	input = (128, 80, 255, 1)	desired = (1)	output = (0.98537213293)
	Training set 2	input = (248, 80, 68, 1)	desired = (0)	output = (-0.000380403615105)
	Training set 3	input = (208, 0, 49, 1)	desired = (0)	output = (0.000958791125857)
	Training set 4	input = (228, 105, 116, 1)	desired = (0)	output = (0.000279718916266)
	Training set 5	input = (128, 80, 255, 1)	desired = (1)	output = (0.985455604069)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
143	0.0102320399834		0
epoch 144
	Training set 0	input = (128, 80, 255, 1)	desired = (1)	output = (0.985559178724)
	Training set 1	input = (0, 0, 255, 1)	desired = (1)	output = (0.985647678)
	Training set 2	input = (228, 105, 116, 1)	desired = (0)	output = (0.00232685990674)
	Training set 3	input = (0, 0, 255, 1)	desired = (1)	output = (0.98571981789)
	Training set 4	input = (208, 0, 49, 1)	desired = (0)	output = (0.00102918443309)
	Training set 5	input = (0, 0, 192, 1)	desired = (1)	output = (0.985800621392)
#	error(trainingdata)	error(controldata)	slope(error(controldata))
144	0.00998396946329	1	0

Success in 145 training rounds!

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