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input=(
(0,1,0,0,0,1,0,0),
(0,1,0,0,0,1,1,0),
(1,0,1,1,0,0,0,1),
(0,0,1,1,0,0,0,1),
(1,0,0,0,0,1,1,0),
(1,1,0,0,0,1,1,0),
(1,1,1,1,1,1,1,0),
(1,1,1,0,1,1,1,1),
(1,0,1,1,1,1,1,1)
);
output=(
(1,0,0,0),
(1,0,0,0),
(0,1,0,0),
(0,1,0,0),
(0,0,1,0),
(0,0,1,0),
(0,0,0,1),
(0,0,0,1),
(0,0,0,1)
);
max=5
epoch=10000
error=0.01
Success in 1720 training rounds!
End result
Testset 0; expected output = (1, 0, 0, 0) output from neural network = (0.99643333654748, -0.00096015950416296, -0.0054249019050244, -0.0012855752861131)
Testset 1; expected output = (1, 0, 0, 0) output from neural network = (0.99693065656956, 0.00065556761522467, -0.0014635347367957, 0.0052299876524651)
Testset 2; expected output = (0, 1, 0, 0) output from neural network = (0.001351188020709, 0.99623229153447, 0.0092852977604265, 0.0033914050417379)
Testset 3; expected output = (0, 1, 0, 0) output from neural network = (-0.0073888106800021, 0.99890884341852, -0.0053250236872901, -0.0024489685708818)
Testset 4; expected output = (0, 0, 1, 0) output from neural network = (0.0038493485287593, -0.0056639808771026, 0.99567395807314, -0.0023369718555036)
Testset 5; expected output = (0, 0, 1, 0) output from neural network = (0.0013863892785944, 0.0075810832688692, 0.99566493080325, -0.0029509081408372)
Testset 6; expected output = (0, 0, 0, 1) output from neural network = (-0.0015745764811657, -0.00038643965815076, 0.0031054578951831, 0.99906885307571)
Testset 7; expected output = (0, 0, 0, 1) output from neural network = (0.010457883892595, -0.00012458166248914, -0.0097852387128456, 0.99909736622823)
Testset 8; expected output = (0, 0, 0, 1) output from neural network = (-0.002947776259808, 0.011199435768901, 0.004779149672233, 0.99902901286057)
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