| epoch 0 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.447444105739) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.400933964687) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.280898326828) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0636527845259) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.397701284409) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.101051623686) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.440434294053 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.616267782871) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.583063831305) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.436753188758) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.274718045919) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.435044242727) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.224958489956) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.459717283649 | | 0 |
| epoch 2 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.536697564188) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.160293822303) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0678137277172) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.578887453717) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.682145899085) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.729729401918) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.189735566603 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.129087731222) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.738019851538) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0877818401474) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.038709141589) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.744517853789) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0461668085596) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.164010947664 | | 0 |
| epoch 4 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0145714763529) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00476826689862) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00160020447757) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000546668950392) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.762917213334) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0307430259958) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.151361397974 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.786048253445) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.810749390113) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.827437862834) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0563200509087) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.832666553058) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0405434461445) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.113629505421 | | 0 |
| epoch 6 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.840142863826) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0317785426142) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0116828537994) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00423751332775) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00152331312458) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.844953787497) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.101298199059 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.857924750759) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.867152320102) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0370112687537) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.870574666994) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.878828927212) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0356868873777) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.0845796321414 | | 0 |
| epoch 8 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0158669958191) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00635446316263) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.878609926347) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0153123558917) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00400925042103) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00110071205286) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.0825654673498 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.000317679106471) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (9.61970480666E-5) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.883175678782) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0128399242589) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00278767232591) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.887956397035) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.0751070044706 | | 0 |
| epoch 10 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0125764937993) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00285573811936) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000650385177446) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.892149985537) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.898255596168) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0184558286553) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.0702745240512 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.900845341666) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0158673890045) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.903928935108) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.908523829847) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.91225498495) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.915683967678) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.379914643374 | | 0 |
| epoch 12 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.918843735575) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.868219535834) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0179411228707) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0157797978645) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.887162510489) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00585342511752) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.0758201762884 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.892779532497) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0100546964677) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.89717436669) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.902566724463) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.906812847487) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.910692686271) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.0642781775829 | | 0 |
| epoch 14 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.914248093117) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0357334551837) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0174854743467) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00729044383976) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0028303314261) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.912280231238) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.0596551804797 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0100638007645) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00248061794022) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000633747293997) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000169125406585) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (4.73929762712E-5) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (1.39578941768E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.0603195962225 | | 0 |
| epoch 16 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (4.30414053146E-6) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.914694759528) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00894755471046) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00193675237387) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.917187932691) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00890637825907) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.0567907542594 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.919711134926) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0096662279573) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.921933572197) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.924964422723) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.927450803835) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.929773557692) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.0509876564681 | | 0 |
| epoch 18 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.931946818494) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.933984886236) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0323721767599) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0163520003845) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00690028236827) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93240303265) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.046634710214 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00905153565074) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0027380140642) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.933690357781) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.935912287172) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0114662558647) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.936896774834) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.0438088545767 | | 0 |
| epoch 20 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.938820403746) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0136359559814) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.93959470242) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0106763971964) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00397163422195) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.940337078824) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.0412436092737 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.942113786108) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.94357787573) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.944968490343) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0178097078403) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.945365411693) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0123798633774) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.0383360519838 | | 0 |
| epoch 22 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00518936951874) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00201969955304) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000756293421172) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.945549025709) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00567553677569) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.946618158531) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.0370179420668 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00619614146729) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00165088507479) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000461844412851) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000135799386795) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (4.18161010565E-5) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (1.33893879238E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.0371790970932 | | 0 |
| epoch 24 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (4.42055691893E-6) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.947420535158) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948821100044) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.949960574799) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951049811901) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.952091393352) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.390640627061 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.953088432732) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.207232370474) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.092249394221) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.931505679822) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.934837950748) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0222603770005) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.04587102844 | | 0 |
| epoch 26 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0153428934675) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00712153061802) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00287323501466) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0114882460226) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00689407257287) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00880086544658) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0454137118125 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00305637245331) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00611383487576) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00379068574125) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.935963638538) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.938094267066) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.014036274545) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.0432902230672 | | 0 |
| epoch 28 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000911707574333) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00479407546855) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00340234645989) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.938500345645) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00299882731912) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.940190739173) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0414113902787 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.941985220851) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.943455898667) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.944852642867) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.946180028116) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.947443191191) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0164871609056) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0383566779877 | | 0 |
| epoch 30 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.94842209638) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.949639582399) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.950742836506) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.951797737544) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0400232914785) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00024438560351) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0355477483196 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00305574913207) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0184740597205) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00863126796246) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.950141158166) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00165966676701) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951295665269) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0344692272275 | | 0 |
| epoch 32 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0014078929607) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952339861196) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.953476379865) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.954415203084) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955316474158) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00869831554999) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.391499292461 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956029137209) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00629528610999) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00207309698431) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.956754122547) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957681561218) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00657890610725) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.392341632808 | | 0 |
| epoch 34 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.958317511701) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.060846459598) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.939424090704) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00887146136713) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.941611716473) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.943424049814) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0397241758211 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.944820944863) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.946149890184) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0055291297582) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.94720188775) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0276368830472) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.94731123072) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0372087052458 | | 0 |
| epoch 36 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0171828173704) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0136316970146) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.947529915558) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.949033008134) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00164882168176) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.949985714154) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0354605300935 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951263223163) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00355545248961) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952123870564) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953255257838) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.954203219598) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00799130549608) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0340991178689 | | 0 |
| epoch 38 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.029516873518) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00885872857168) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00749773830632) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00364035326632) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00151164682929) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.953869304314) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0331177163193 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00327307433299) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000237211368811) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954777243845) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955806260592) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.956652094407) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00737095889799) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0322301393401 | | 0 |
| epoch 40 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00272080198834) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.957270096544) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95817078105) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958927404033) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959656869962) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0383076636481) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.0303655477505 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959099614085) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959699067283) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960401391581) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961078762242) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000892026462) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00190643937237) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0294366341939 | | 0 |
| epoch 42 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961638208633) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962387441832) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00383425037804) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000886499864828) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0322545017064) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0121068616131) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0284233920129 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00960069908193) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0183529297029) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961408102769) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962045937159) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0160662829869) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962117444783) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0277544869103 | | 0 |
| epoch 44 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962742996183) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963341654822) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0149400392134) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963423265144) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.015236554236) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0101380877922) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0259745841569 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964039120476) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000974967661739) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964655593411) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00104876643662) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0164917665381) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.009484417873) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0261382493848 | | 0 |
| epoch 46 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964419661007) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965001073179) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965528470519) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0068034514691) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965967553273) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966582307981) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0242171293752 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0162402839169) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00781088369538) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00582289432237) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966556439145) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000365545691667) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0108983289233) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.023803481168 | | 0 |
| epoch 48 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00513339334479) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96674706193) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96732590326) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000627652489032) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967710658618) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00171388398741) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0230464364129 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968154574041) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968652245865) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00362370231961) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969002366636) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.018267208724) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0048715802952) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.0223947874282 | | 0 |
| epoch 50 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00834106196297) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00707972507386) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00477371013632) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968731883239) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969242931809) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969648703425) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0174639325184 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980729207759) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981021543602) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0142197822381) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98119135867) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981467696941) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981707574317) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0182651585529 | | 0 |
| epoch 52 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00949113274209) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0184363924253) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0114307811558) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981683107319) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00565866205906) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00394899226505) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0164341802952 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981805879239) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0158018528695) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981923600601) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982173829799) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971109254562) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982584175269) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.104730026598 | | 0 |
| epoch 54 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982809611581) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0168661938868) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0103784443786) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00467139413763) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982767095891) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982941288305) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.397268231023 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00476042540876) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972372252435) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983275662666) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972929001437) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000394806290367) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00228236155584) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.397577217635 | | 0 |
| epoch 56 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.973217918847) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956508007354) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.230587393066) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959344705797) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961518345641) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0708689286002) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0355903606329 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0399805675173) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961462532427) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96196983928) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0191597489094) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962466664224) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0131457036786) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0275646436362 | | 0 |
| epoch 58 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963326207441) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96407410431) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0204385701983) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00462619781307) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964521290287) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965176516063) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0258469481678 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0154253224246) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00051430208623) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965523993168) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966121086052) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966614761697) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00598471785799) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0240068837012 | | 0 |
| epoch 60 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00229166546011) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96678183901) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967321319096) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967780298829) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968226487851) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968660270398) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0241288698208 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0117232704875) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96874195195) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00778648677728) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968925089757) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969369200548) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969771957726) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.022544038146 | | 0 |
| epoch 62 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970180406334) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0133167441312) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0066773562228) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970402077918) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970805422158) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.012126936985) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.01604071 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000246664696493) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981841949673) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982283564596) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00418293513101) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00303758411107) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982469265405) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0158556815117 | | 0 |
| epoch 64 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971471000483) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982837606439) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00323063159783) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0110134782602) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00664717368113) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0097982501171) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0156978867962 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971552360171) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00318668025026) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971946925711) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983224338171) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972511225577) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983602075223) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0153039401142 | | 0 |
| epoch 66 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00330829587003) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983801120457) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00347398213694) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983955513194) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97338119727) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984264663594) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0155929538385 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00414430079182) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984442717393) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00381777053975) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974001575743) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000399939967554) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974307284963) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0161282026654 | | 0 |
| epoch 68 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98485533172) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985026115534) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0222894808794) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0118166894611) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0086369809571) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974443885493) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0149289030256 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00136577072878) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974759642042) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0176765100513) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985171422457) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974805776496) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.011016535613) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.0155049037933 | | 0 |
| epoch 70 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974845579779) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0122506370026) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0079844950577) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0083600491309) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00618928544206) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985417492317) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.0137151382264 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00681262025377) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985515972335) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975166771751) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985793931743) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00614070571584) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985927580715) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0153980553396 | | 0 |
| epoch 72 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00366960346597) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986060581718) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0178008224241) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986115662074) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0104550152309) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00654109336248) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.0131258674066 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98610364224) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986210525071) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976170813216) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976430495692) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.012311929314) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00813608930742) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0130357655381 | | 0 |
| epoch 74 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00570408071504) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976410176333) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976707225774) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976938871491) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00164392678554) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986859888114) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0129762505636 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986971609946) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00244861971951) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.987089790262) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0137626413515) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.987137451574) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0104291498681) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0127979793374 | | 0 |
| epoch 76 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977318590803) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00388168193575) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977579061276) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987393891664) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987512902456) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978042032355) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.399538836714 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.97826252285) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964619242632) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967491123106) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0418809008532) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967920179711) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968641026546) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.341302447217 | | 0 |
| epoch 78 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0182471360771) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982317278761) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0273914162253) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.83334253825) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.168044785245) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971713008091) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.0882133311831 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972927301637) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97344353238) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.114694817733) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962260685718) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975762570344) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0573873038272) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.0307522790965 | | 0 |
| epoch 80 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0325706952638) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0143401489499) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00571655221576) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961788931452) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00477119821906) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00140747422522) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.0199601977319 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00043464995508) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962340867936) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00311781959146) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000469201554578) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978331968306) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00170744975961) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.0194595316916 | | 0 |
| epoch 82 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00174260246424) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978629599369) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00240333718384) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00213555688961) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963590715816) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00203215441707) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 82 | 0.0189187249665 | 1 | 0 |
| epoch 83 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000113645409465) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964161565504) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979469045004) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000231760633771) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979812545876) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00240091986149) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 83 | 0.018313388503 | | 0 |
| epoch 84 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965279952097) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98030076733) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98059262039) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98085580314) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98111181931) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981360987351) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 84 | 0.0186561087736 | 1 | 0 |
| epoch 85 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0104850868429) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981558214966) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981742031142) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981974672669) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98220145292) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982422526268) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 85 | 0.0196537184792 | | 0 |
| epoch 86 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982638107121) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.9828483993) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0192732998063) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0117748008287) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00528927358932) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968896275982) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 86 | 0.0159194462127 | 1 | 0 |
| epoch 87 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982930446822) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96957724097) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00016138944131) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969940420776) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00138840489779) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983582875183) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 87 | 0.0152943318069 | | 0 |
| epoch 88 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983755918617) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983939836731) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00526240050999) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984107177116) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00441491475116) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984245042613) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 88 | 0.0150397296282 | 1 | 0 |
| epoch 89 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00397430066539) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.899706071052) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.851013742022) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975015309214) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0916059250183) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974505427321) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 89 | 0.0376688470289 | | 0 |
| epoch 90 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0435403823292) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0244204985696) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0106978159296) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.749625924867) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961846374775) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960067754829) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 90 | 0.143845848317 | 1 | 0 |
| epoch 91 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.950572012841) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.201404356929) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951136264485) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966200828847) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.104815221347) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951170951861) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 91 | 0.0477149852647 | | 0 |
| epoch 92 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0560838456756) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951325238945) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0303728198285) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971196367825) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0111755833504) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95218005461) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 92 | 0.0255283696869 | 1 | 0 |
| epoch 93 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972521976231) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95368661597) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954683264889) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974046427714) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0056905649543) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974651585616) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 93 | 0.022903721568 | | 0 |
| epoch 94 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.956347860495) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00258637753983) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957097437369) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00318654164412) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976044815666) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958315928204) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 94 | 0.0214096903193 | 1 | 0 |
| epoch 95 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000698624686263) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976859630999) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00295352154989) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00251823447787) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959395131733) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977481367796) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 95 | 0.0205754262537 | | 0 |
| epoch 96 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00097135865269) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00134620003523) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000703089123561) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00030009613684) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000117808677101) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-4.43213451365E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 96 | 0.0205766803268 | 1 | 0 |
| epoch 97 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977859902955) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978169168184) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978502680494) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961559015256) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962244842878) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00266967497406) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 97 | 0.0193804138805 | | 0 |
| epoch 98 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979480193317) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0042777566498) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00319233185705) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979697945786) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963474933645) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980218290091) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 98 | 0.018564261907 | 1 | 0 |
| epoch 99 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980515003645) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980780314179) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00783205499072) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00520772822769) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964876811777) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965522223925) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 99 | 0.0176089058406 | | 0 |
| epoch 100 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00232336752816) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000127340695339) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965936339948) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966515713402) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00404623750435) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96691566756) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 100 | 0.0169731762038 | 1 | 0 |
| epoch 101 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00346891564447) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000843531716337) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967343422112) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982489731124) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982722189596) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00171917405561) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 101 | 0.0163232445902 | | 0 |
| epoch 102 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982940152901) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00277892128543) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00219997966624) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968474524343) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00162166259127) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983317409599) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 102 | 0.0158360090569 | 1 | 0 |
| epoch 103 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983496677482) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983686549067) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98387206799) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00709118425221) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00466840207233) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969737066241) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 103 | 0.0152302292092 | | 0 |
| epoch 104 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000627707051462) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984170971696) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00197613948683) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00169090856883) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000822639884835) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984312687822) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 104 | 0.0150298021029 | 1 | 0 |
| epoch 105 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984465313112) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0032325742328) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970721494899) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984772407548) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00204349033456) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984953484933) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 105 | 0.014604412902 | | 0 |
| epoch 106 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985090861797) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00437904315484) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00305227272663) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985211161753) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00231917056066) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00185327348621) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 106 | 0.0142936804709 | 1 | 0 |
| epoch 107 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98532894463) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0018751309547) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985464641059) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00256488046287) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985594094235) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985718581252) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 107 | 0.0142314775127 | | 0 |
| epoch 108 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985860530248) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00607506109833) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98598275821) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00460545952496) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00315230356924) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00145992968322) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 108 | 0.0137016926398 | 1 | 0 |
| epoch 109 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972875163393) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986164158084) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973366022756) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00126236688575) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986473919559) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00134414225303) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 109 | 0.013237884259 | | 0 |
| epoch 110 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973778875734) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000926416803862) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974078274105) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986853295876) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974516106087) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974816297593) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 110 | 0.0126653534727 | 1 | 0 |
| epoch 111 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00230429960676) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000457532077665) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.987274221838) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000936348782651) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.987383410048) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975301210953) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 111 | 0.0122775984796 | | 0 |
| epoch 112 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000370165617945) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975541990767) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987711606924) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000927047275226) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000958326253788) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.987827104317) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 112 | 0.0120457366298 | 1 | 0 |
| epoch 113 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0013423767582) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987922360468) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976175679257) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000563888139083) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00115688366265) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00062588257225) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 113 | 0.0118253000301 | | 0 |
| epoch 114 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9764079684) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976686358205) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976918454077) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.988427607139) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00193419250832) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000726136455928) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 114 | 0.0114161269362 | 1 | 0 |
| epoch 115 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00026642460478) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (9.64353988752E-5) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (3.46185651399E-5) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.988556923549) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.988639034713) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00213558963625) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 115 | 0.01134830686 | | 0 |
| epoch 116 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00162699467923) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000772813612872) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.988712324448) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.988790772864) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.988878026647) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98896392954) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 116 | 0.0115602267455 | 1 | 0 |
| epoch 117 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.989048505242) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00605732990251) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00388751726682) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00177023381224) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.989076950602) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0014136670303) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 117 | 0.0109661104602 | | 0 |
| epoch 118 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00119305871727) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000578882134243) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.000240307217845) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.989137864934) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000908627088603) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97815527603) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 118 | 0.0107894277211 | 1 | 0 |
| epoch 119 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.989291280769) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978467735692) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.000616127279517) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.989479539441) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978749967771) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (5.23168371573E-5) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 119 | 0.0104879060605 | | 0 |
| epoch 120 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000706959522596) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000414222112553) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.000183692143215) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.989638639349) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.989705557271) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.989779102295) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 120 | 0.010552689781 | 1 | 0 |
| epoch 121 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.989851601667) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979280291042) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979478720596) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97965822283) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00123589268244) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00142164389814) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 121 | 0.0100224693724 | | 0 |
| epoch 122 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.000725684234471) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979817641017) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00132393982008) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.990238835941) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.990300512797) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00186305646253) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 122 | 0.00988272737357 | 1 | 0 |
Success in 123 training rounds!