MATLAB: How to Loop the neural network training to choose the best performance

Question

Hi, I need some help on how to train a network for different value of Neurons, and save the MSE then choose the best MSE to select the best trained network.

I am using the fitnet as follows:

trainFcn = 'trainlm';  % Levenberg-Marquardt backpropagation.
% Create a Fitting Network & set number of neurons
hiddenLayerSize = 30; 
net = fitnet(hiddenLayerSize,trainFcn);
[net,tr] = train(net,X,T);
testX = X(:,tr.testInd);
testT = T(:,tr.testInd);
testY = net(testX);
perf = mse(net,testT,testY)

Answer 1

Here it is: https://in.mathworks.com/help/nnet/ug/improve-neural-network-generalization-and-avoid-overfitting.html