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《Chinese Journal of Electron Devices》 2007-05
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Character Identification based on EMD and Improved BP Algorithm

LV Dong-mei1,GUO Jing21.Electric Institute Shanghai Dazhong Technical School,Shanghai 201800,China;2.College of Information and Control Engineering,China University of Petroleum,Dongying Shandong 257061,China  
To guarantee the optimized decomposed effect and overcome the disadvantage of the training velocity and easy plunging into local minimum about traditional BP NN.It firstly modules the frequency and range to the basic pattern weight among waves or in the waves by imputing the IMF of EMD.This can realize a filter to the signal by the description of the alterable range or the frequency.Then according to the character of interval appearance between wave crest and trough in the vertical direction projection,the character can be segmented.Lastly,it can realize the character identification after unite the segmented character unitary and then to send them to the evolutionary BP NN by inducting the momentum factorial.The simulation proves this method can improve the efficiency of the signal decomposement and outspread.and can improve the validity and the veracity of the identification.
【Fund】: 国家自然科学基金资助(60574023);; 青岛市科技发展计划课题资助(05-1-JC-88)
【CateGory Index】: TP391.41;TP18
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