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《Journal of Chongqing Institute of Technology(Natural Science)》 2009-09
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Comparison with BP and RBF neural network used in English Letters Recognition

GAO Fu-qianga,ZOU Hengb,QIN Chang-shuob,XU Min-jianb,YANG Yongb(a.ICT Research Center;b.College of Automation,Chongqing University,Chongqing 400030,China)  
BP and RBF in pattern recognition are two most widely used kinds of neural networks.In this article,a recognition model for them is established and is tested with standard English letters.Interference is put in the test,these two kinds of neural networks with their ability of recognition are compared,and some places that should be given special attention are put forward.It is pointed out that when used in letters recognition,the performance of RBF network is superior to BP network and its improved algorithm.
【Fund】: 国家“863”高技术研究发展计划资助项目(2006AA04Z104)
【CateGory Index】: TP183;TP391.43
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