I am trying to predict future values using BPNN, with 1 input and output neuron respectively and also 1 layer of hidden layer. And I change the number of hidden neurons from 2 to 10. For example, I set the number of hidden neurons (N) as 10 first. So, I want to generate the weights (10 weights from input to hidden, and 10 from hidden to output),and I write this:
s=rng; m=rand(10,2)
Is this the correct way? However, when I change the N to 7, it gives me the same predicted values as N=10.
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