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《Computer Simulation》 2005-02
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Using Genetic Algorithm to Improve BP Training Algorithm

MU A-hua,ZHOU Shao-lei,LIU Qing-zhi,XU Jin(Department of Automation, NAEI, Yantai Shandong 264001,China)  
Genetic algorithm, standard back propagation and its improved methods are first introduced. Their merits and defects are also presented, then the combination of genetic algorithm and back propagation algorithm for training neural network is describled in detail. It can improve the search efficiency and realize global optimization. The simulation result shows this method has high convergent speed, easily-oriented global optimization and practical value.
【CateGory Index】: TP18
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