Neural Network
Architecture
Number of inputs:
Neurons in hidden layer(s):
Number of outputs:
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Acceptable error:
Maximum iterations:
Epsilon:
Learn data lines:
0 0 0 / 0 0 1 0 0 1 / 0 1 0 0 1 0 / 0 1 1 0 1 1 / 1 0 0 1 0 0 / 1 0 1 1 0 1 / 1 1 0 1 1 0 / 1 1 1 1 1 1 / 0 0 0
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Learn iterations:
Actual error:
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Test data lines:
0 0 0 0 0 1 0 1 0 0 1 1 1 0 0 1 0 1 1 1 0 1 1 1
Test results:
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Samples per input:
Total samples:
Formula code:
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