MATLAB: How do i optimize weights of neural network using GA in MATLAB(need codes to achieve that), again how do i call this function that optimzes the neural network weights in GA GUI so i can work with it from the interface

Deep Learning Toolboxgenetic algorithmtraining neural network using gaweight optimization using ga

i need to train a neural network(a feedforward network and also a narx network) using genetic algorithm.and i need to do this by using GA to search for weights that will make the network learn very well.

Best Answer

When
 [ I N ] = size(input)
 [ O N ] = size(target)
  MSE00  = mean(var(target',1))% Reference MSE
 The number of available training equations is
Ntrneq = N*O
 For an I-H-O node topology the number of unknown weights is
Nw = (I+1)*H+(H+1)*O = (I+O+1)*H+1
 Obviously, 
 1. The "3" in the GA input is replaced by I+O+1
 2. The normalized mse calculation is
     NMSE = mean((target(:)-output(:)).^2)/MSE00
Of course there will be more complications if the performance measure has to be decomposed into class and trn/val/tst subsets.
Hope this helps.
Greg
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