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《Journal of Beijing Institute of Machinery》 2005-01
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An improved rapid algorithm for BP network

ZUO Yun-bo,ZHANG Huai-cun (Department of Mechanical Engineering, Beijing Institute of Machinery, Beijing 100085 , China)  
BP neural network has been widely used in many fields. But the convergent speed of standard BP algorithm is too slow. In order to improve the convergent speed of standard BP network, an improved rapid algorithm for BP network is represented, on the basis of LM optimization algorithm by using double polarity S compressed function as transfer function. The way double polarity S function and LM algorithm combine with BP neural network is analyzed in the paper. The steps of new algorithm were given. It is proved by an example that the convergent speed of new algorithm is faster than that of other BP algorithm.
【CateGory Index】: TP183
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