how to add genetic optimization in Back propagation neural network tool box or even using commands of Matlab
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genetic optimization is very useful in minimizing the error in a neural network. i searched the nntool and commands for genetic optimization in neural networks but in vain.
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Greg Heath
2014-11-18
Genetic optimization is the least preferred method for designing single hidden layer nets with given inputs and targets (the universal approximator ) because it is too slow.
However, if different combinations of inputs and network architecture are to be considered, GA may be a good way to go.
Searching in the ANSWERS NEWSGROUP, and comp.ai.neural-nets yields
neural genetic 64 132 699
neural ga 39 69 674
Check the ANSWERS references and respond with specific questions.
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