how to add genetic optimization in Back propagation neural network tool box or even using commands of Matlab

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.

Answer 1

[Greg Heath]

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.

[Siva]

Thanks