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Indexed by:会议论文

Date of Publication:2015-01-01

Included Journals:CPCI-S

Page Number:173-177

Key Words:BP neural networks; genetic algorithms; initial weight; network errors; optimization

Abstract:The Genetic Algorithm (GA) has been used for artificial neural network optimization of initial weights and thresholds matrix. The initial weights and thresholds which has been optimized is equivalent to set up a reference range for artificial neural network to search optimization, therefore the performance of improved artificial neural network could be enhanced. Matlab2010 has been used as a platform for experiments. With the actual case, the error between the algorithm of individual using the BP (Back-Propagation) network and the optimized GA-BP (Genetic Algorithm and Back-Propagation) neural network with the genetic algorithm has been carefully analyzed. Results show that all indicators improved for the latter.