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Improvement and Application of BP Algorithm

Li Minsheng Liu Bin (Department of Computer Science and Engineering, Beijing Institute of Technology, Beijing100081)  
Aim To study the standard BP algorithm's local minima and learning speed problems and propose the scheme for improvement. Methods Methods of classifying samples were used and the analogy anneal was applied to adjust the network's weight change rate( η ) and moment( α ). Results Recognition rate of 480 learning samples is increased from 70% to 95%, and learning hours of this problem decrease from 4 h to 30 min or so by using this new algorithm. Conclusion The capacity of new BP learning algorithm is greatly improved.
【CateGory Index】: TP273.2
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