This research proposed a simulated annealing approach which not only provide the best architecture and parameter settings of BPN, but also find out the beneficial subset of features according to different problems, so that the results of BPN classification will be the maximized.

Optimization of Back-Propagation Network Using Simulated Annealing Approach.pdf

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