GA-Neural Network Hybridization
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How GA can be hybridized with Neural network (with reference to Matlab).
3 Comments
Accepted Answer
Greg Heath
on 3 Feb 2012
I don't see how they can be combined to an advantage.
Just write the I/O relationship for the net in terms of input, weights and output: y = f(W,x). Then use the Global Optimization toolox to minimize the mean square error MSE = mean(e(:).^2) where e is the training error, e = (t-y) and t is the training goal.
Hope this helps.
Greg
3 Comments
Shipra Kumar
on 30 Jan 2017
Edited: Shipra Kumar
on 30 Jan 2017
greg how can u write y as a function. i am having similar difficulty while implementing ga-nn. would be glad if u could help
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