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《Journal of Hefei University of Technology(Natural Science)》 2003-01
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Application of radial basis function neural network in shape recognition

HU Yong,ZHAO Qin,GAO Jun(School of Computer and Information, Hefei University of Technology, Hefei 230009, China)  
Radial basis function neural network(RBFNN) is one of the neural networks used widely. In this paper, the principle,structure and training algorithm of RBFNN are introduced. Then RBFNN is applied to the shape recognition system of traffic signs, and the algorithm is realized in MATLAB environment. The result of the experiment proves that the original center and the number of samples have a considerable effect on the recognition outcome. When the original center is the same one,the more the number of samples,the better the recognition outcome,and the ratio of correct recognition becomes steady as the samples reach a proper number.
【Fund】: 国家自然科学基金资助项目(60175011);; 安徽省自然科学基金资助项目(01042301);; 教育部优秀青年教师资助项目
【CateGory Index】: TP183
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