A day of testing NNs. All the MLPs I tested regardless of the number of training iterations or hidden layer neurons gave very similar results. So I analysed the results of Exp E, as it was fairly representative, for false +ves and -ves. I then produced a new training file of some of these and the original random cases but still with 50 cases.
The results of an MLP with 10 hidden layer neurons and 50000 training iterations were poorer than using the random set.
Next try a training set of all false +ves and -ves plus orginal training set.
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