Determining the optimum structure for an Artificial Network is an important design step in almost all the artificial intelligence systems which are based on Neural or neuro-fuzzy networks. In this paper a genetic algorithm based solution is presented and tested over real world databases and for single layer and multiple layer networks and it has been shown that the determined network structures has the best accuracy and the optimized topology as well.
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