GA-Neural Network Hybridization
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Abul Fujail
el 1 de Feb. de 2012
Comentada: Greg Heath
el 30 de En. de 2017
How GA can be hybridized with Neural network (with reference to Matlab).
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Greg Heath
el 3 de Feb. de 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
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Shipra Kumar
el 30 de En. de 2017
Editada: Shipra Kumar
el 30 de En. de 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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