| epoch 0 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.448243541529) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (-0.034653952578) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.573505184642) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.741541430984) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.798403252581) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0215521541845) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 0 | 0.312412420267 | 1 | 0 |
| epoch 1 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.629330522665) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.731080767268) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0367347093767) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.526974572541) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.694832208396) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.506375286567) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 1 | 0.284595783785 | | 0 |
| epoch 2 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0668356399474) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.684461753112) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.441755507731) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0359346224467) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.681539485762) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.756413912449) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 2 | 0.223337646783 | 1 | 0 |
| epoch 3 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.046337897042) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0228141426664) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.020585686023) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.805888952864) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.831574699611) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.853421229526) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 3 | 0.229248939888 | | 0 |
| epoch 4 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0521714979554) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.871019174664) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0484972011986) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.882247112857) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0451451887267) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.891515673332) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 4 | 0.23760489481 | 1 | 0 |
| epoch 5 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0419614052935) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.899322466796) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.905441495966) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.912012231011) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.917686861508) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0508440422376) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 5 | 0.248488150599 | | 0 |
| epoch 6 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.03456313325) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.922241149661) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.604063676398) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0579996967283) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00879843584695) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0111351883534) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 6 | 0.0752707793468 | 1 | 0 |
| epoch 7 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00894444043192) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.894142156059) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.901728269019) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00556390885802) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.909492148702) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00856882857809) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 7 | 0.0598857966025 | | 0 |
| epoch 8 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.915357116385) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.919958235738) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0143954364829) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.925021270286) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0151134313053) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00836880364191) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 8 | 0.0506938821409 | 1 | 0 |
| epoch 9 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00740192565367) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00614704558233) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.9284800831) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.931748942672) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0146867924235) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.935396617349) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 9 | 0.0451108774855 | | 0 |
| epoch 10 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.937964012609) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.940733078279) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0202460884402) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.943452672473) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0190804726762) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0120551785719) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 10 | 0.0393523007011 | 1 | 0 |
| epoch 11 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0104473737388) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.945211959723) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.947061873304) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0163609174146) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.010183683674) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.949074531548) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 11 | 0.0362271223379 | | 0 |
| epoch 12 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.950664706203) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0159833556518) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0100447148312) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00871181174912) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952308757965) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0118200574805) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 12 | 0.0330159104381 | 1 | 0 |
| epoch 13 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.953840154864) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.955123910537) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.013678250319) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00851020448937) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956562430468) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.957714164603) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 13 | 0.030517300569 | | 0 |
| epoch 14 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.9589835164) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0152098013671) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960267895512) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0141958283731) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00908911881929) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00786166891242) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 14 | 0.0370904571161 | 1 | 0 |
| epoch 15 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0602448766285) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0212398303117) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961268321769) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962099748058) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0186054048557) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0124229665863) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 15 | 0.0271899265135 | | 0 |
| epoch 16 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963061040992) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0146270004669) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963932785375) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0135616681029) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00875738361717) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0075654519613) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 16 | 0.0254220682721 | 1 | 0 |
| epoch 17 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96460390018) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.009726616731) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00594373076486) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965371756384) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966103387768) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00988085794206) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 17 | 0.0237459421808 | | 0 |
| epoch 18 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00611371841483) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00531462864056) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966881279409) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967551653015) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00888516905821) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.968354296454) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 18 | 0.0227937816303 | 1 | 0 |
| epoch 19 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968947083931) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00999516622981) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969679644306) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970216285792) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970840482554) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0120476105039) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 19 | 0.0209226972863 | | 0 |
| epoch 20 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971482805047) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0111063500841) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971988118803) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972437140198) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.972970867494) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0126695289308) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 20 | 0.0196499722349 | 1 | 0 |
| epoch 21 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973520348012) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973912119917) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974389738522) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974850054906) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0148331549041) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975322170632) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 21 | 0.0195927780506 | | 0 |
| epoch 22 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0132228298215) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00892536822112) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00766268582591) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00638454029698) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975541872943) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00776689214368) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 22 | 0.359719417968 | 1 | 0 |
| epoch 23 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975928948937) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976266048873) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0084243733443) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00540776927845) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976655012658) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.9769796275) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 23 | 0.365847266905 | | 0 |
| epoch 24 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977350759387) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977710016748) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978057877128) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0107920697146) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.899256477588) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96551822585) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 24 | 0.551040115028 | 1 | 0 |
| epoch 25 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.963869134612) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.933205799819) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0162779613068) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00956828273192) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.931823545087) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0148535021678) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 25 | 0.046326837469 | | 0 |
| epoch 26 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.9350321064) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.937628427233) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.940428161882) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0204485609312) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.943176166) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0192590436168) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 26 | 0.0396478144684 | 1 | 0 |
| epoch 27 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0121764615461) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0105514132927) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00878248953156) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.944841398424) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0125745916538) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.946913684085) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 27 | 0.0374091375479 | | 0 |
| epoch 28 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.948628712736) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0149071353686) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.950664777143) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0143765984666) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00885516397885) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.952133732133) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 28 | 0.0339833816253 | 1 | 0 |
| epoch 29 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0122991700293) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.953674987624) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0121120667042) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00729517780248) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.954992473671) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.956240827663) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 29 | 0.0312572094369 | | 0 |
| epoch 30 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957601598426) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.95887844052) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.960078452394) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961208486738) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962274596505) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.963282147685) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 30 | 0.0299856630377 | 1 | 0 |
| epoch 31 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0227861843232) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964295463195) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964982388148) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0217566372461) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.96590228388) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0193166932898) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 31 | 0.0253788927237 | | 0 |
| epoch 32 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966581722332) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0172925002202) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967246350449) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.967840994379) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0169972827585) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.011446183281) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 32 | 0.0233183977248 | 1 | 0 |
| epoch 33 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.96852069994) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.013240773606) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.969145843956) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969687139971) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970333920968) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0147841238286) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 33 | 0.132976209129 | | 0 |
| epoch 34 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.321521940067) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968296047861) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0602683917172) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.676345936658) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.95833686685) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0100547063744) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 34 | 0.173662232088 | 1 | 0 |
| epoch 35 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00893124540634) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.956769327208) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.958024498368) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959275386294) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00103956627764) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.960566253631) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 35 | 0.170231221674 | | 0 |
| epoch 36 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.961565531922) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.415347494042) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.957792508095) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0536764138739) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.956647362778) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0460485519611) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 36 | 0.247908389338 | 1 | 0 |
| epoch 37 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957548697133) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0396552510745) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0278543089111) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.958158629786) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.959100331552) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.9602862918) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 37 | 0.0358576783692 | | 0 |
| epoch 38 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0328926679014) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.961461868716) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962215329316) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0303034068349) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0210940310443) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.018035243973) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 38 | 0.0282902032794 | 1 | 0 |
| epoch 39 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0150352000139) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0125697529109) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962690835988) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0144932905572) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00940054468971) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963484216012) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 39 | 0.0265512254039 | | 0 |
| epoch 40 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964281343681) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.965182870583) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966039286389) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0163134160607) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0108730809721) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.359133450013) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 40 | 0.262582631803 | 1 | 0 |
| epoch 41 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962816599608) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961848361226) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962873475158) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0607764663788) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963856534555) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964351293746) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 41 | 0.276517769308 | | 0 |
| epoch 42 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0530297033472) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.03804822744) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.964920241262) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0382355948477) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.661990867077) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0664609086706) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 42 | 0.073798286383 | 1 | 0 |
| epoch 43 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.0141913286656) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.949174774746) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.950945362518) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.952662329942) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.954259552558) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00657166625972) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 43 | 0.0315193712105 | | 0 |
| epoch 44 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.955902715312) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.957192345705) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.00160473514353) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00272144687005) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (-0.00214225784668) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.958657054515) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 44 | 0.0284676017525 | 1 | 0 |
| epoch 45 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00135166637161) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.959877702733) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00285210057474) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.000678577133883) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.960984660789) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0039125064812) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 45 | 0.0268556585211 | | 0 |
| epoch 46 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.962050198094) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.962946218504) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963917401269) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.964838034125) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.965711714252) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.966541998531) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 46 | 0.0247290922504 | 1 | 0 |
| epoch 47 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0124845378413) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00805721028662) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96731749397) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0102010024572) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00639569867028) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00554891057034) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 47 | 0.0229199009729 | | 0 |
| epoch 48 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967917002238) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968543636313) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00896946543639) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.005529503481) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969246893924) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969821080706) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 48 | 0.0218328145554 | 1 | 0 |
| epoch 49 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.970462179403) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0102657182156) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.971123661327) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00966071367544) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971652361962) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97211928893) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 49 | 0.02066740904 | | 0 |
| epoch 50 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0103494216023) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00668208125991) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.97265520985) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973100515977) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973608658203) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0107566599155) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 50 | 0.0189545817908 | 1 | 0 |
| epoch 51 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00703095513438) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974082753301) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974479516403) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00923811026498) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00648019390133) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974928704317) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 51 | 0.11199015511 | | 0 |
| epoch 52 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00801863708302) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97533582513) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975689685653) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.976103939858) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00970770883273) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.97653382367) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 52 | 0.0263444102612 | 1 | 0 |
| epoch 53 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00896619076128) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00581842869979) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.304266425844) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.974409086604) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.973694417926) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.686020103913) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 53 | 0.31939364007 | | 0 |
| epoch 54 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.0508849972295) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961588832121) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962827782844) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (-0.00153659282777) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.963902110623) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.69233378934) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 54 | 0.231689904966 | 1 | 0 |
| epoch 55 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.544424186004) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (-0.0264479803927) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0132414680892) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.93953838301) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0137475821388) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00795075743638) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 55 | 0.0414046186579 | | 0 |
| epoch 56 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.941862939531) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0124136544105) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0070560936041) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00621457704065) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0051633429165) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.943919362165) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 56 | 0.0388164797702 | 1 | 0 |
| epoch 57 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.945905978167) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.948000393279) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.949934013371) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.95172408158) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.953386343697) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0203413841113) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 57 | 0.0331645749809 | | 0 |
| epoch 58 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0133770277779) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0115265479201) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0096002299116) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00802652407121) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00670778163844) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00560595931989) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 58 | 0.0323736576201 | 1 | 0 |
| epoch 59 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.954457081181) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.955748102027) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0107568996868) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00637165324306) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00557557151171) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00463570411873) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 59 | 0.0304759061419 | | 0 |
| epoch 60 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.957075245889) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0077086322014) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00416622461236) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00369968617182) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.9582468755) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.959338252013) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 60 | 0.0285629718345 | 1 | 0 |
| epoch 61 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.960510736974) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.010217645102) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.961706620497) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.962582349899) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.963572848664) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0132457152451) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 61 | 0.0257564137155 | | 0 |
| epoch 62 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.964582983797) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0123933246723) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.965378333098) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.01166530213) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.96614141069) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0110340373397) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 62 | 0.0239365772132 | 1 | 0 |
| epoch 63 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00696867177123) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00603955999346) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.966762657865) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.967434283819) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00956324751438) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00592798987398) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 63 | 0.0227884371717 | | 0 |
| epoch 64 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.968186718237) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.968800644661) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00949985974666) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.969540890377) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0091022367749) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00566450507769) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 64 | 0.0214352423068 | 1 | 0 |
| epoch 65 |
| Training set 0 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970087901986) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.970629444452) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00900816066207) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.971284544263) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.971767277921) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00984193185549) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 65 | 0.0200372412079 | | 0 |
| epoch 66 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00629360531358) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.972320995539) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.972779393372) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0093041903682) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.973340238629) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00877489549439) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 66 | 0.0189452230768 | 1 | 0 |
| epoch 67 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00556121357183) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00481730041725) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.973720763772) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.974138248255) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00757637905621) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.974645287027) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 67 | 0.0184010567614 | | 0 |
| epoch 68 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975022086007) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.975459616509) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00943017935851) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.975913719718) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00876565078415) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976276175518) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 68 | 0.0175350102106 | 1 | 0 |
| epoch 69 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.976599416215) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00921412884083) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00600429660343) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0051803293104) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00431382582646) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.976923237477) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 69 | 0.016598026408 | | 0 |
| epoch 70 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0057582277393) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00345830012434) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00301980039863) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00251132405596) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00209996794078) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977211941309) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 70 | 0.0161016554283 | 1 | 0 |
| epoch 71 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00370598937586) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.977564313131) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00400103758258) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00218097092269) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.977883846699) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.978185063035) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 71 | 0.0155604976791 | | 0 |
| epoch 72 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00477336909396) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.978546196335) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.978820595553) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00574060361827) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.979159916716) |
| Training set 5 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00559848427748) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 72 | 0.0147379251117 | 1 | 0 |
| epoch 73 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00342033561156) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979418964501) |
| Training set 2 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00485761088759) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00288131935942) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00252078488098) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.979670585028) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 73 | 0.0144594937356 | | 0 |
| epoch 74 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.979923125621) |
| Training set 1 | input = (0, 0, 192, 1) | desired = (1) | output = (0.980204833511) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980478686144) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.980744961085) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981003971282) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.981256012644) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 74 | 0.0145033037991 | 1 | 0 |
| epoch 75 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981501365121) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981740293772) |
| Training set 2 | input = (0, 0, 255, 1) | desired = (1) | output = (0.981973049748) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982199871196) |
| Training set 4 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982420984093) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.0127094177055) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 75 | 0.0137567409825 | | 0 |
| epoch 76 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982648730993) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.982803522272) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983009734) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.983211065343) |
| Training set 4 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983407624671) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983599580887) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 76 | 0.0154966232083 | 1 | 0 |
| epoch 77 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0147455883108) |
| Training set 1 | input = (248, 80, 68, 1) | desired = (0) | output = (0.0103483738316) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00883761468291) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.983718741058) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00933625916525) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00634854009508) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 77 | 0.0120534904576 | | 0 |
| epoch 78 |
| Training set 0 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983846770081) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00720403388869) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00477499788234) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.983986432464) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984135602993) |
| Training set 5 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00640929598058) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 78 | 0.0114750426354 | 1 | 0 |
| epoch 79 |
| Training set 0 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00419702079605) |
| Training set 1 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00361854607678) |
| Training set 2 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984292674024) |
| Training set 3 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984438788349) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984607471444) |
| Training set 5 | input = (0, 0, 192, 1) | desired = (1) | output = (0.984772524701) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 79 | 0.0115988973531 | | 0 |
| epoch 80 |
| Training set 0 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00648734315417) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00427720414198) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00368412643591) |
| Training set 3 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00306844367284) |
| Training set 4 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00256538594639) |
| Training set 5 | input = (128, 80, 255, 1) | desired = (1) | output = (0.984895728807) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 80 | 0.0108716257564 | 1 | 0 |
| epoch 81 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985032946647) |
| Training set 1 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00415553641783) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.0025607246771) |
| Training set 3 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00222737971319) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98518299654) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00317686057732) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 81 | 0.0104556170793 | | 0 |
| epoch 82 |
| Training set 0 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985328674635) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985456513287) |
| Training set 2 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00384985793093) |
| Training set 3 | input = (0, 0, 192, 1) | desired = (1) | output = (0.985615819464) |
| Training set 4 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00376873066485) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00229494731961) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 82 | 0.0101826923304 | 1 | 0 |
| epoch 83 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00199975969336) |
| Training set 1 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985732691879) |
| Training set 2 | input = (128, 80, 255, 1) | desired = (1) | output = (0.985855996344) |
| Training set 3 | input = (0, 0, 255, 1) | desired = (1) | output = (0.985995214223) |
| Training set 4 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00412401089026) |
| Training set 5 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986142671652) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 83 | 0.0101171913709 | | 0 |
| epoch 84 |
| Training set 0 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00397087581652) |
| Training set 1 | input = (0, 0, 255, 1) | desired = (1) | output = (0.986265000025) |
| Training set 2 | input = (248, 80, 68, 1) | desired = (0) | output = (0.00384082982235) |
| Training set 3 | input = (228, 105, 116, 1) | desired = (0) | output = (0.00237105697025) |
| Training set 4 | input = (0, 0, 192, 1) | desired = (1) | output = (0.98637587464) |
| Training set 5 | input = (208, 0, 49, 1) | desired = (0) | output = (0.00330295815929) |
| # | error(trainingdata) | error(controldata) | slope(error(controldata)) |
|---|
| 84 | 0.00964912594481 | 1 | 0 |
Success in 85 training rounds!