Simple MLP

See a simple MLP learning the XOR problem.

You can set the learning rate and momentum.

Test Net applies the next line from the training set. The inputs, target, output and Delta values are shown.

Teach Net applies the next item of data and adjusts the weights. When all items in the set are presented, an Epoch, the sum of the squares of the errors (SSE) is shown.

Auto Teach repeatedly applies the data, adjusting the weights. When you press Stop Teach the learning stops and the variation of SSE vs Epoch is plotted. If you then press Auto Teach again, learning will resume.

Teaching will also stop when the epochs taken exceeds the maximum specified or the sse is below that specified.

Reset reinitialises the weights

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