| epoch 0 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.0664021465477) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.54102680349) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.624622662508) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.425040747357) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.502222950868) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.664375054245) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.474366280808 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.536410358152) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.552844065681) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.336583177968) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.205641343846) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.58792533533) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.656037842817) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.424895437023 | | 0 |
| epoch 2 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.468136527133) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.659778869047) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.416493791563) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.660566062105) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.355130270017) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.485400667673) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.387409619573 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.274223367662) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.703184936286) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.411273837867) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.782029129905) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0166038633095) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0427657743818) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.297011439151 | | 0 |
| epoch 4 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.656769400064) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.727550843145) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.762488365835) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.273324651139) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.762696524495) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.379357532825) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.39085316433 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.27192792107) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.105573836691) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0655409753346) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.39312067511) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.810082117606) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.821358062906) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.376343454151 | | 0 |
| epoch 6 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.187061797465) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.353089732077) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.843180815784) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.739410284233) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0154795988691) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.785711507899) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.139916818014 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0609856494898) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0160531922606) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.011606348993) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00615994106239) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.80359162831) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.825086233915) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.135744852852 | | 0 |
| epoch 8 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.104946055233) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.830032627008) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0948650918104) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.840093656366) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.086356995067) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0300732940887) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.171019297501 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.849051775086) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0644666630143) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.856619824896) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.868928997622) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.876725611107) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.123824899782) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.198098454515 | | 0 |
| epoch 10 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.330798358327) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.123256344846) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.297889194516) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.892053529624) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.819486702299) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0712423344108) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.109624507171 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0380986820563) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0217190806245) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.850948938784) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.862480591707) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.871114285193) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.878681720831) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.115705645396 | | 0 |
| epoch 12 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.885360275762) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.891302690065) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.166030582469) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.888535064163) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.897622399112) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.902296936089) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.386494417692 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.906573236807) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.910473544468) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.194146449136) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.906406891735) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.123453577029) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0499098802626) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.0685351278677 | | 0 |
| epoch 14 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0307931842741) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.907608736555) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.912465306396) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.06239856857) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0230758535461) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0146745261371) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.12599255596 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00801110124398) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00453881024855) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.912677285544) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0254500833839) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.915252988084) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.9192886866) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.124002968315 | | 0 |
| epoch 16 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0485696910193) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.92009363194) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.923959197624) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.263034287634) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.108770947707) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0271981947053) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.053797494267 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0200384640697) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.926288844267) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0308491113258) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0102188248462) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.928017817902) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.930787843871) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.0554014609228 | | 0 |
| epoch 18 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0404415501945) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0144662862193) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.931398452658) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.93395746167) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.935871819735) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0551815658357) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.112506776818 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.935905236382) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.938529992024) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.94018183647) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.94174832785) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0788966357209) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0314386130045) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.111823441874 | | 0 |
| epoch 20 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0195027237993) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.940777579607) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.942736541221) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.944167773386) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.94552894603) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.946823404709) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.112428067992 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0729043161134) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.946214816576) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.86963488719) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.947169849873) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.10291387777) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.949678746965) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.324823405543 | | 0 |
| epoch 22 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.7409628063) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0224817369813) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.930397485405) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.933113951708) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0785404910792) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.932562776295) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.0594122080721 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.054052298642) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.933860318118) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.936628926048) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0545031532426) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0206953337992) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.936631167177) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.0483000033509 | | 0 |
| epoch 24 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0304928514432) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.010491772861) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.937812204162) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.93988268878) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.941463356641) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0480320821629) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.0432795307997 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0181257138417) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0114514528673) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.94140008584) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0216820048868) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.942480447245) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0229147485102) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.040254181364 | | 0 |
| epoch 26 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00752856287158) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00499456224272) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.943536841629) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0170338674613) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.944576182537) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.946278173874) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0431939743027 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0312869853854) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0112116186937) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00721055235955) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00392557098416) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.946527059255) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948008397248) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.0405159079198 | | 0 |
| epoch 28 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.94918482814) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0370128826318) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0137482146037) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.94932618712) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.950731140416) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951785446683) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0448554647363 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952795469762) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953762967149) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.954690614858) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0709062437709) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954066378907) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955622709463) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0492274768424 | | 0 |
| epoch 30 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.956473990012) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.957294564985) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.958084049863) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0805195045082) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957275884516) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0494865350229) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0328945053296 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.019361791417) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957675275925) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0238616457864) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.958151062214) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0205315418373) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00713357331183) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.282301659719 | | 0 |
| epoch 32 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95870666015) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0151731615645) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.690786565703) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960023538486) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963459492445) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.964027524801) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.0415466967064 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00509569283499) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0320433550354) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.944550484922) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0292983221423) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0103034129681) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00667018848397) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.160087720259 | | 0 |
| epoch 34 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.380536482829) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.146929282599) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.076226894594) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0438953238817) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.945092971405) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.946985804475) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.0521814439031 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948208371274) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.949376577226) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.950491812525) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0839510616096) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.949617579429) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.951536330721) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.0557183848839 | | 0 |
| epoch 36 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0629122056997) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.951093016799) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.952766240043) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0515350257109) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952541777406) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954049327241) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.0450980858191 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0451595562509) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0173950661546) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0109157079678) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953822659563) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9549749458) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0273319220893) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.032446550798 | | 0 |
| epoch 38 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00987900546393) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.955190734276) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0179938365494) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00595220970376) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.955802329492) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.956826311049) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0344254981625 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957632871666) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.958409722946) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959157953229) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959879139527) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0577107947541) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959471078822) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0383548595491 | | 0 |
| epoch 40 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0373359963322) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959901255984) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0269174027314) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960370830017) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961322671457) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.029459905694) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.028400048192 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0110186102224) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00698367276289) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961322380284) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962114279979) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962733180992) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963332178014) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.0362598487388 | | 0 |
| epoch 42 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963911836185) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964473090042) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965016813266) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0580458744407) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964585095479) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0364029099311) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.0267443699255 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0140771962961) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964882113505) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0183446797653) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00646624851374) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965219414838) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0130122906416) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.211447457412 | | 0 |
| epoch 44 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00423565341081) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00281984337545) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.587716040701) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.161338110512) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966109595145) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967497806956) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0959891624118 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967949787884) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968391248032) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.144535859799) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0622570035657) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0376749568804) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0208306011546) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0252381275468 | | 0 |
| epoch 46 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966303106011) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966978940055) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0281458382764) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0106750820087) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.966966697184) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96756630658) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0274553783052 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0220172610756) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967639251782) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0175776716309) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.967957987617) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968557593129) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968981917252) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.0292754733333 | | 0 |
| epoch 48 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969395103077) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969797238313) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0401377041316) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969602987563) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0262720242501) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.969848243026) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0249475834446 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970424053516) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970798932236) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0310640999484) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0120483656699) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00754449922946) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0041327877029) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.216257196619 | | 0 |
| epoch 50 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.527264041996) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.154974040833) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.100461622268) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.970512750629) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0700562391978) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970460024801) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0355744947024 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971212979401) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971567513629) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0527365085411) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971209494533) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971856679646) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972195546295) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.0363947313891 | | 0 |
| epoch 52 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972526810444) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0490330481607) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0197367550758) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972191575556) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972661615965) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972981485767) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.171971547718 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0312678161196) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.430969361824) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973392946938) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975195779986) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975456157442) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975713697363) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.141420244462 | | 0 |
| epoch 54 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.198549058977) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0894003739497) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0534226475957) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973381873389) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0401963304481) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973447542622) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.131230489866 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973963554909) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974253264866) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0358483434787) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0141980332904) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974078638013) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974469817112) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.137577293403 | | 0 |
| epoch 56 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.332797653532) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.132937830494) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974759579704) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0979333380736) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0410840564959) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.223981033402) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0790435152169 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974804190899) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.131559368342) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0563882078359) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.137065270488) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.089660796476) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974325897834) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0473267375643 | | 0 |
| epoch 58 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0620885859661) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974280908457) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0363948599635) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974410905819) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0233671920606) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.118688109213) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0429207536869 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974790268824) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975562056317) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975816471092) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976066438394) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0848630174079) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0353513423909) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0373291702235 | | 0 |
| epoch 60 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975337040489) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0302494594243) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.975412513998) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.97582835126) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976077794648) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976322342842) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0415967842814 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0797890153524) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0636357211295) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0499540339812) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976526054438) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0667135602689) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976268650434) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0304498122432 | | 0 |
| epoch 62 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976793055538) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0429637466176) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976552651916) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976981974247) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977207918503) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977429729825) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0337583342984 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97764721021) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0443224175412) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0700882468173) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.977615031988) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978106326473) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978310429556) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0418250142053 | | 0 |
| epoch 64 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978511144224) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978708132562) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978901498848) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00271181950123) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.08032011619) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0344083936061) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0303188819784 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978281996349) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0287045648687) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978331459384) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97866111871) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0636964173485) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978877242237) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0359049305622 | | 0 |
| epoch 66 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0562697555048) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0418528003392) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0433994873057) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978728334369) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979096243847) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979282312091) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0276624788207 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979465315711) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979645076829) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0464719874031) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0435721917967) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0391203684276) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0199617327152) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0209605315359 | | 0 |
| epoch 68 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0115155276616) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00643412994408) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979248989028) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979483041411) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0130743015822) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979517491799) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0232283882527 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979767040525) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0413681531957) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0115320993902) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000303803261071) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0381069634856) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.016029773093) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.0184971377209 | | 0 |
| epoch 70 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00978008902494) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0291709087934) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979789718319) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98008397241) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980252820153) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9804189651) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.0249400590993 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0360607405356) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0205028505203) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0251742386348) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0144038221142) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00173553602275) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980361180601) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0204827856596 | | 0 |
| epoch 72 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0262449550411) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980307333956) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00884103456067) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0197341495843) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00900234569957) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00535971751077) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.0158616295734 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980386791138) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0164253096482) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.980580047346) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980816514627) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0231954368854) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980754663169) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0167469447229 | | 0 |
| epoch 74 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.015437065811) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00582112709437) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980852545039) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00861537932716) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0253988088846) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981000139081) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0175144648781 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0197540694608) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981067493408) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98130327827) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.017350692826) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00664574120752) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0221014019449) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0153705783223 | | 0 |
| epoch 76 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981320583481) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981557716039) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981702377699) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981844878386) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000345211380313) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981962506294) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.0231185554098 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000836487480424) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0325809570133) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0136478166043) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00833792311951) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00459404679298) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00259656985151) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.0175344985574 | | 0 |
| epoch 78 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0290627646067) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98180890271) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0036382607776) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0200157849696) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98188846947) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0145263574583) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.0149609163181 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0175457550117) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0133048385172) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00699329754646) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0118973787206) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00908124685517) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981945128653) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.0139344433553 | | 0 |
| epoch 80 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982131898501) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.982267684833) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0167537384316) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0124895880235) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982306766639) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982496062843) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.0173070360207 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982626325618) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982754713403) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.982881198962) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00342837640178) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982983607462) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983117347597) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.024174548353 | | 0 |
| epoch 82 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.036464562811) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982950434035) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983191308383) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0249759397199) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00992448293195) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00616592677043) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 82 | 0.0181728472164 | 1 | 0 |
| epoch 83 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983084055253) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983241684055) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983361042842) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.029937969974) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.025208178284) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0129942241161) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 83 | 0.0160642885709 | | 0 |
| epoch 84 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983348222407) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983519057443) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983634454405) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983748292416) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983860542983) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983971239349) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 84 | 0.0213385622991 | 1 | 0 |
| epoch 85 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0284490709515) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0114173564582) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00707061582751) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0414639026535) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983880452374) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00573127824556) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 85 | 0.0201137028156 | | 0 |
| epoch 86 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0288504809245) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0125969516082) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983897922291) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0123476211662) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983953931454) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00934939566051) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 86 | 0.0167654052241 | 1 | 0 |
| epoch 87 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00337508606701) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984029799883) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00614598671245) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984104204633) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0316874657591) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00881974988819) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 87 | 0.0175518257457 | | 0 |
| epoch 88 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984331330014) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00215706623973) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0265615112081) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984269640161) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984457286624) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984559814192) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 88 | 0.0175607566782 | 1 | 0 |
| epoch 89 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00982040414685) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984650883996) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984790754634) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0334332523665) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0135523361858) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00836573205126) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 89 | 0.015737558264 | | 0 |
| epoch 90 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0270919489469) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984655476508) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0212791462695) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00841815851107) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0178982118184) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0127095952659) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 90 | 0.0121510727019 | 1 | 0 |
| epoch 91 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984664645964) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984811253179) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.984909175389) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985005881539) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0202816748575) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984953470022) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 91 | 0.0141661159484 | | 0 |
| epoch 92 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985113055554) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985207086093) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0126911511605) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985292562403) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.027711269508) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985236435408) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 92 | 0.0152310446884 | 1 | 0 |
| epoch 93 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0167905011792) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00654898045497) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985283105773) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985405011487) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985495404079) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985584704978) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 93 | 0.0165921453388 | | 0 |
| epoch 94 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0220018424349) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00622686158737) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0285927729676) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0125277852551) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0192653048533) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0158678512485) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 94 | 0.0121433605742 | 1 | 0 |
| epoch 95 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0110399691515) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0136717325333) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985511986399) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0110793290412) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985562707242) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98569058955) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 95 | 0.0126052075407 | | 0 |
| epoch 96 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0112100175004) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0042181508648) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985692798607) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985803141727) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98588865113) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985973151448) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 96 | 0.0142694897956 | 1 | 0 |
| epoch 97 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986056637684) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986139128103) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986220640508) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0126562828929) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986295214191) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986415032095) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 97 | 0.0218588504332 | | 0 |
| epoch 98 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0340463897163) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98627835902) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0161658055854) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986440541998) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986565603484) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00176763749657) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 98 | 0.0211244501253 | 1 | 0 |
| epoch 99 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986630817846) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986722524829) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986797273713) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986871193939) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0437316536729) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.017991731755) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 99 | 0.0162170060068 | | 0 |
| epoch 100 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0110532460556) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0060823944128) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986630231414) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0336978757793) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986736709584) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0055450530278) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 100 | 0.0180361460004 | 1 | 0 |
| epoch 101 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0267598647817) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.986742138059) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.016905685631) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0223083606489) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986822486113) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0213047395933) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 101 | 0.0119094225976 | | 0 |
| epoch 102 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986820440371) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0132572969769) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00511839595618) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986860844189) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00665940154152) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.986906686547) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 102 | 0.0130980841737 | 1 | 0 |
| epoch 103 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987004814871) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0207287962275) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.987075601714) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.020537768108) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00819075567592) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0050829041012) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 103 | 0.0122592564428 | | 0 |
| epoch 104 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0195862953462) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00469384441131) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000345792121708) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000465405242199) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (9.33421044719E-5) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.987127817686) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 104 | 0.0133192836375 | 1 | 0 |
| epoch 105 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.987209153777) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.987278503232) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0219391334512) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.98721415258) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0134982704547) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.987252783148) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 105 | 0.0117154980353 | | 0 |
| epoch 106 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.9873598768) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987427570078) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987494570325) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0115353821748) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987555970488) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987654800339) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 106 | 0.0177745982588 | 1 | 0 |
| epoch 107 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00102287054841) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0268187446765) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0150773055806) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00177981896641) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.987657466123) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.98773586225) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 107 | 0.0175992490493 | | 0 |
| epoch 108 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.026516883585) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987647090974) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.987773769117) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0181084938113) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00719239514309) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00446932058026) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 108 | 0.0129416726217 | 1 | 0 |
| epoch 109 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00245255310996) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987712521053) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.987791537957) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0225488317562) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0149680470087) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00809245544236) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 109 | 0.0110769486148 | | 0 |
| epoch 110 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.987805348902) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00806092110422) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00296868603337) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0198824329587) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00968123273502) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00565685216026) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 110 | 0.00984817533778 | 1 | 0 |