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《Journal of Changde Teachers University》 2003-02
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STUDY ON IMPROVING ALGOR-ITHM OF BP NEURAL NETWORK

LI Guang-qiong JIANG Jia-fu (Department of Computer Engineering,Changsha Communications University,Changsha Hunan,410076)  
In order to reduce the times of substitution on standard BP algorithm and improve the speed of convergence,a new method,which integrated minus-grade decline way with DFP algorithm,has been presented.In the initial stages of seeking optimization,standard BP algorithm should be used.Then the task of one substitution would be less than others and the store capacity would be smaller.Furthermore,it has an inferior demand for the initial value.When the process of seeking optimization began to approach optimization,DFP algorithm should be used.Finally,MATLAB toolbox and Visual Basic can realize the improved algorithm.The result of experiment showed that the new algorithm can reduce the times of substitution and improve the speed of convergence efficiently.
【CateGory Index】: TP183
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