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《Computer Engineering》 2002-08
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Approach of Evaluation System Based on Support Vector Machine

XIAO Jianhua1,2,WU Jinpei2,YANG Shuzi1;(1. School of Mechanics, Huazhong University of Science & Technology, Wuhan 4300742.Institute of Intelligence Technology & Systems, Wuyi University,Jiangmen 529020)  
In this paper,the basic theory of statistical learning theory(SLT) and support vector machine(SVM)are introduced systemically and the application of SLT and SVM in the evaluation system are studied.For example, the design method of evaluation system for research projects supported by science foundation is analyzed.In order to improve the generalization performance,it reconstructs the evaluation system based on SVM.At the end of the paper,the comparison of the result of simulation between the evaluationsystem based on SVM and that based on other methods such as neural network and fuzzy sorting are discussed. The result shows that an ideal classification result can be acquired by adoption of SVM in this evaluation process. ;;
【Fund】: 国家自然科学基金资助项目(70071023);; 广东省自然科学基金资助项目(990828)
【CateGory Index】: TP181
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