| epoch 0 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.30361626156) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.655049064418) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.764026197455) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.705999640792) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.36746652081) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.490338266461) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.603236120515 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.313540840167) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (-0.000218055299947) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.615155039245) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.76013415239) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.808477219161) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.837356354382) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.614796066715 | | 0 |
| epoch 2 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.857734823085) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.74586458361) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.53497766557) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.676742473938) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.438080068662) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.743786392597) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.57276334814 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.779388355112) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.619894110472) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.708856521911) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.605031292259) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.712998242992) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.758082605381) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.49563473657 | | 0 |
| epoch 4 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.723377992924) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.707529272511) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.338424769584) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.402955644131) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.652797597347) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.758784989031) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.443164952487 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.591995752595) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.232032603715) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.141778922472) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.14157627586) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0845035506415) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.667543382621) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.458749270934 | | 0 |
| epoch 6 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.751026851518) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.579510721794) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.692218638068) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.770920514853) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.813341746613) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.673395178037) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.32454119336 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.735013552542) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.541946100748) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.527113574976) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.67923633524) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.739702459492) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.794286669586) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.490622537625 | | 0 |
| epoch 8 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.82785353258) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.850828977313) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.867816348126) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.644722352072) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.839568408549) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.528756443668) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.392803026383 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.80075876762) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.817983524556) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.59898486927) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.821852852697) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.664225725675) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.730216727656) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.298421447202 | | 0 |
| epoch 10 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.789116278891) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.45644487064) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.805188473504) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.636654154666) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.471901368868) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0671563189121) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.309895636007 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.633136441047) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.734422749676) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.792445636639) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.511746200097) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.46402660564) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.733402263859) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.246862605665 | | 0 |
| epoch 12 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.772332789072) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0797537147076) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.816330934866) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.837792496596) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0552420910209) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0164599792664) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.290888248981 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.85823003344) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.871541520229) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0316739474232) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.884936766447) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.594538469642) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.508127842664) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.260228738392 | | 0 |
| epoch 14 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0286532899493) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0196699789573) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.816456269606) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.839300269005) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.859094802063) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0391726566977) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.241306247221 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.875349405741) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.885114366649) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.030382717657) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.895728275544) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.902503003551) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.909503354005) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.264503047778 | | 0 |
| epoch 16 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.91551637332) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0320587949902) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0102762160158) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.634857304541) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.891175878976) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.493801322014) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.227243044492 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.877898395764) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.881103881433) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.891584267308) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.900317438082) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.907658332343) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.913926914888) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.263989475748 | | 0 |
| epoch 18 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.919350342481) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.924094386557) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0337934047232) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0113723153142) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.928179776244) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.931421725816) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.274908924822 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.663395028892) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.218928752005) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.552763237025) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.50939449144) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.121503550521) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.29493240116) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.217311695311 | | 0 |
| epoch 20 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.829462174048) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.110093069647) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.844804653499) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.503249009919) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.816437438884) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.830194003867) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.17352460805 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.852230273413) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0912575794893) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.87081820302) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0405952487048) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0223520115327) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.4828917526) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.229491489951 | | 0 |
| epoch 22 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.850279820965) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.175941002251) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0848900826467) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.864063458619) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0440385732146) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.879575943273) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.0786610385676 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0167944959232) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.89110013089) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00356375582507) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00578992537315) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.900166190839) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00556446964725) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.205453368222 | | 0 |
| epoch 24 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.477080180961) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.878072117378) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.881390318186) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.891819898543) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.900513807977) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.150078712776) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.0811156654536 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.909014593861) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0737134321981) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0348095668739) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.453356319465) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.220298882961) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.888233388173) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.090279525995 | | 0 |
| epoch 26 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0791425046186) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.900949859439) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0357266723419) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.909347401411) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.915229662721) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.920484358671) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0531725749592 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00659486405914) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00577726074742) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.925635876008) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.929309283013) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.932927277345) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00897662689603) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.0449364179846 | | 0 |
| epoch 28 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00127981195592) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.93637163421) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93898525473) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.941662677189) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.944107134421) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0143717623684) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.194147891317 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00399682520267) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00282822090431) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00150761320786) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94633599312) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94817985068) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00765678367934) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.209037323641 | | 0 |
| epoch 30 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.504733521971) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.208559958896) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0641087175336) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.932232597803) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.93585599246) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.938824840258) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0489547058013 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.941518216838) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943975049403) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0320253597781) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.946506450958) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948607442309) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0114558698878) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0351805305045 | | 0 |
| epoch 32 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.950697412242) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00358081625417) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952517292998) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.953990380613) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.955497347802) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00423515026043) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.0303820566542 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000180127923767) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000414459653394) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957002949597) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0036892503258) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.958303556571) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959391963623) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.028150578014 | | 0 |
| epoch 34 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00543136883582) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960664922628) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.004420499975) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000454415329875) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00054448755824) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000265038134446) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0270933545153 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961684523603) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0032446832707) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962714939761) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963582867585) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964520554764) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965410283772) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.222323351878 | | 0 |
| epoch 36 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966255412296) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967059261891) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.550784067685) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.956337191623) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.954728013525) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.172788579902) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0635625387963 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0787207660077) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957855660187) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959491683382) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960656834266) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961753915108) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962789853932) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0397780728499 | | 0 |
| epoch 38 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963769711266) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0414668604168) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0187645831958) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.011198342121) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965216134337) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966046242613) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0235205044427 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00285979381169) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00240186601798) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00123757738496) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000707182709749) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000400772906497) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000224899264216) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0233430967961 | | 0 |
| epoch 40 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966988047584) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00247850681293) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967753063679) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968401617536) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969105185064) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00533419806225) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.209150348337 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00115292734091) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969809222984) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970382335737) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.519485500105) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.209820065838) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.95873565158) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0610081387366 | | 0 |
| epoch 42 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0769964291154) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0342168030113) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961812256313) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0202045651394) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0098521554001) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00575442070415) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0260731554179 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963266553383) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964159109148) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965067125214) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00233751866698) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000255399525733) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965996802315) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0236038519714 | | 0 |
| epoch 44 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966733831432) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0042067193136) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000591678003902) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000585036473702) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967558252713) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968224306045) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0221741863748 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968935903365) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969615811542) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970265965949) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00822483599574) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00241004046081) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00167017059582) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0205968944498 | | 0 |
| epoch 46 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970885323474) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00332778476388) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971469198983) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971970541365) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00410330732911) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000740971550599) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0194132711062 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00063946739501) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972549034884) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973023694221) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973534821684) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00484309784034) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00110872844895) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.0183606334584 | | 0 |
| epoch 48 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000853105725964) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000447003109086) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000255989790207) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974036691998) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974462272862) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00330434833225) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0177089056641 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974960738709) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975344406497) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975770649539) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97618225273) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976579872) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00685416767891) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.0163322619588 | | 0 |
| epoch 50 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976995079955) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977304747506) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00538803590098) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977695455704) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00364899101252) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978021312271) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0827123326419 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978313681689) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00369778047445) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000800178591301) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.528372764537) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971086647023) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.181089929625) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0619209045338 | | 0 |
| epoch 52 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97001581694) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971388140657) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0926422537381) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972122106885) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0457564976333) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0202793527891) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0207353647627 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0121772093368) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00673765632362) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00380410896372) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00213676082942) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00120177219331) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973540267494) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.0184162653123 | | 0 |
| epoch 54 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973988436553) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00243000201845) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0001116197298) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974496793064) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00225394136382) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974949712187) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.0175082459791 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97533782074) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975764300855) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00430472571889) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976211809645) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00317192131501) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000503710585699) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.0165660603802 | | 0 |
| epoch 56 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000465309681319) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976574377388) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00210771790156) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (6.97970654121E-5) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000197931448247) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976946451348) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0161210813484 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977281425711) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00288460726411) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000421556744067) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000407820539245) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000205009219092) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977661162496) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0156304304062 | | 0 |
| epoch 58 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00188192002065) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (1.40605014594E-5) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978001084591) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978306491684) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978635789097) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00372237490109) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0148726992475 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978982897527) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00276000434931) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000430255078125) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000401505849962) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979265783167) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979535591968) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0143934781333 | | 0 |
| epoch 60 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00272943940514) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979854498026) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00222561917964) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980127450812) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980369428179) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980638665579) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0137473084346 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00363159817933) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000855450607166) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980911517185) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981138481695) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98138690481) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98162881947) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0132282187397 | | 0 |
| epoch 62 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.981864445179) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982094026034) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98231779363) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00688438438014) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98255232107) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00418652861821) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0122300883384 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982742750865) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982918770951) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00356049895512) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000906501625313) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983129426024) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00204646174351) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0117934051284 | | 0 |
| epoch 64 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98332392392) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00173464875837) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983511116241) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00157073831463) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (9.16962908876E-5) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983690821621) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0114592775867 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00143527332039) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (4.11430928723E-5) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000132101727399) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (5.87741749697E-5) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (3.52532916656E-5) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (1.95083165184E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0114053986391 | | 0 |
| epoch 66 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983870334321) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984033833698) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984211472721) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984385178065) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984555060671) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984721246239) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0111707193524 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984883855011) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985043002043) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00587121997782) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985210447402) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00356509554819) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985346866951) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0104118550211 | | 0 |
| epoch 68 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985473482086) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985620368908) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985764307661) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00424415929034) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00129388353406) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985906440465) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0099878631289 | 1 | 0 |
Success in 69 training rounds!