Optimization loop for number of neurons in neural network

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Valeria
Valeria 2017-1-19
编辑： Valeria 2017-1-19
Dear all,
I am trying to optimize the number of neurons in one-layer network in a simple "for"-loop. However, when I find the optimal number and try to establish the network again, I get a completely different result: the error is different. Knowing that the randomness is present, I try to fix the weights' assignment but it does not help.
I am definitely not an expert in ANN therefore probably can't simply understand where the problem comes from.
Here is my code
load data % loads X and Y tables
setdemorandstream(391418381)
SRmax = 0;
numNeuronsopt=0;
for i=1:20
numNeurons = 9+i;
net = patternnet(numNeurons);
[net,tr] = train(net,X,Y);
nntraintool
Xtest = X(:,tr.testInd);
Ytest = Y(:,tr.testInd);
Ytesthat = net(Xtest);
[MCR,ConfMat] = confusion(Ytest,Ytesthat);
fprintf('Percentage Correct Classification : %f%%\n', 100*(1-MCR));
fprintf('Percentage Incorrect Classification : %f%%\n', 100*MCR);
SR_temp = (1-MCR)*100;
if SR_temp>SRmax
SRmax = SR_temp;
numNeuronsopt = numNeurons;
end
end
Thank you for your help!

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