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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 4983 training rounds!
End result
Testset 0; expected output = (1, 0, 0, 0) output from neural network = (0.9928252318749, 0.002632550189527, -0.0018574991984812, 0.0028949625795629)
Testset 1; expected output = (1, 0, 0, 0) output from neural network = (0.99394815083218, -0.00088771910893913, -0.0072641138911485, -0.00045856419914407)
Testset 2; expected output = (0, 1, 0, 0) output from neural network = (-0.0036288135395878, 0.99959916213245, 0.0037764270212367, 2.8768793255586E-5)
Testset 3; expected output = (0, 1, 0, 0) output from neural network = (0.014690962378986, 0.99959721026265, -0.01650798661366, 0.0022805443636424)
Testset 4; expected output = (0, 0, 1, 0) output from neural network = (-6.7682062578137E-5, 0.0018091831635712, 0.99708248080655, 0.0028952462922505)
Testset 5; expected output = (0, 0, 1, 0) output from neural network = (0.00052987251284399, -0.0012807157951959, 0.99670633794753, 0.00053915179122203)
Testset 6; expected output = (0, 0, 0, 1) output from neural network = (-0.0073539503575808, -0.001501006424667, 0.0086016989665161, 0.99970788278846)
Testset 7; expected output = (0, 0, 0, 1) output from neural network = (0.0013187149507123, -0.00168991478514, -0.0010033351713197, 0.99970792439362)
Testset 8; expected output = (0, 0, 0, 1) output from neural network = (-0.0023147049683731, 0.00049086851294955, 0.0027708898340456, 0.99970682906635)
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