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《Optics and Precision Engineering》 2003-05
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Multi-target recognition with improved BP algorithm

XU Ting-fa~1, ZHANG Min~2, GU Hai-jun~1, SONG Jian-zhong~1, HAN Guang-liang~1(1.Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130022,China;2.Mathematic and Physics Department of Changchun Teacher University , Changchun 130024,China)  
An improved BP algorithm has been proposed for realization of multi-target recognition. The principle followed is addition of an alternating momentum factor to the step function, i.e., the step length is doubled when the gradient directions of two consecutive iterations are the same, and the step length is halved when the gradient directions of two consecutive iterations are opposite. Due to the adaptive adjustment of step length in the iteration process, error function E approaches the minimum point in different directions on the super curved surface in accordance with the step length to realize the optimization of goal function. The recognition rates achieved using the improved BP algorithm with optimized goal function are better than 98%, and the improved BP algorithm's convergence speed is four-times fast than the convergence speed of traditional BP algorithm.
【Fund】: 中国科学院知识创新工程青年基金资助项目(No.Q01H01)
【CateGory Index】: TP391.4
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