Abstract
Firstly fuzzy neural network algorithm and its advantages are introduced, Combining modified genetic algorithm(MGA) and Minus-Grade Decline a fuzzy neural network(FBPNN) algorithm based on two phases is proposed in this paper. In the first phases fuzzy neural network in global area is optimized with genetic algorithm (GA) and in the second phases in local area is optimized with Minus-Grade Decline. Using this kind of combined optimization algorithm the self-learning and robust can be increased in the networks.
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