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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 4691 training rounds!
End result
Testset 0; expected output = (1, 0, 0, 0) output from neural network = (0.9997784262294, 0.0030540380412693, -0.00032846265999172, -0.00078674053001488)
Testset 1; expected output = (1, 0, 0, 0) output from neural network = (0.99986131187923, -0.0050591691384188, 0.0059463715515071, -0.00067617440135637)
Testset 2; expected output = (0, 1, 0, 0) output from neural network = (-0.0021503401010694, 0.99907530348244, 0.0026304559287274, -0.0062877860212095)
Testset 3; expected output = (0, 1, 0, 0) output from neural network = (-0.00010209869714967, 0.99906923793545, -0.0010738910419512, 0.0018439845037935)
Testset 4; expected output = (0, 0, 1, 0) output from neural network = (-0.011463642651705, -0.010482602591908, 0.99963173280352, -0.0080885737235696)
Testset 5; expected output = (0, 0, 1, 0) output from neural network = (0.007802060783137, 0.010009658901139, 0.9995533971941, 0.0023336219017828)
Testset 6; expected output = (0, 0, 0, 1) output from neural network = (-0.0053936522777778, -0.0029539174623278, 0.0077707517930461, 0.99969251628664)
Testset 7; expected output = (0, 0, 0, 1) output from neural network = (-0.0044059468556174, 0.0054015464739559, 0.0059692226864824, 0.99968791820245)
Testset 8; expected output = (0, 0, 0, 1) output from neural network = (0.0031719496938217, 0.0059838100465381, -0.0077750012492295, 0.99969752650031)
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