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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 7665 training rounds!

End result


Testset 0; expected output = (1, 0, 0, 0) output from neural network = (0.99582498631217, -0.0035517210845044, 0.0022141938678505, 0.00039583153261529)
Testset 1; expected output = (1, 0, 0, 0) output from neural network = (0.99586133999739, 0.00042903720887045, -0.0061035825244759, -0.00017560818516551)
Testset 2; expected output = (0, 1, 0, 0) output from neural network = (-0.0088351021969062, 0.99987467220925, 0.0093697747124284, 0.00034639185849781)
Testset 3; expected output = (0, 1, 0, 0) output from neural network = (0.01098232053822, 0.99987451224248, -0.010347066598246, 0.0020767044233173)
Testset 4; expected output = (0, 0, 1, 0) output from neural network = (0.0068341994571918, -0.0013861950300272, 0.99529238403961, -0.0015478848944899)
Testset 5; expected output = (0, 0, 1, 0) output from neural network = (0.0081518143689991, 0.0005786238252385, 0.99525241128541, 0.0011719122640141)
Testset 6; expected output = (0, 0, 0, 1) output from neural network = (0.0022852553075436, 0.00020509862421842, -0.0011217655662942, 0.99961956965106)
Testset 7; expected output = (0, 0, 0, 1) output from neural network = (0.00054246132774337, -0.00081021080164622, 0.0014938915471244, 0.9996191818548)
Testset 8; expected output = (0, 0, 0, 1) output from neural network = (-0.0016495250542417, -0.00088259645074368, -0.00079467608309983, 0.99962414043088)
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