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《Electronics Optics & Control》 2005-06
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Penalty function and its improved algorithms for regression type support vector machine

CHEN Wei,HU Chang-hua,FANG Hua-yuan(The Second Artillery Engineering Institute,Xi'an 710025,China)  
The support vector machine(SVM) used for regression estimation is introduced in this paper.Since the standard penalty-function has low training speed and can't distinguish the weightiness of different samples,two improved penalty function algorithms were used for regression estimation of SVM.Simulated experiments were taken for analyzing the training effect of these algorithms.The feasibility of the algorithms was proved at last.
【CateGory Index】: TP181
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【Citations】
Chinese Journal Full-text Database 5 Hits
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 DINNG Lei,TAO Liang (School of Computer Science and Technology,Anhui University, Hefei 230039, China);Applications of support vector machine in cholesterol measurements[J];Journal of Anhui University(Natural Sciences);2005-02
2 WANG Dong-xia1,ZHANG Nan2,LU Xiao-li(1.Department of Computer Science,Jiyuan Vocational and Technical College,Jiyuan 454650,China;2.Department of Mathematics,Northwest University,Xi'an 710127,China;3.School of Public Management,Northwest University,Xi'an 710127,China);Parameters selection of SVM based on breeding algorithm[J];Journal of Anhui University(Natural Sciences);2009-04
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4 LI Shu-hua et al (College of Science,Huazhong Agricultural University,Wuhan,Hubei 430070);Study on the Early-warning of Aquatic Products Export Trade Risks in China Based on Support Vector Machine[J];Journal of Anhui Agricultural Sciences;2008-30
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6 WU Su-hua (Jiangsu University,Zhenjiang,Jiangsu 212003);Study and Analysis on Detection of Soil Water Content Based on Least Squares Support Vector Machine[J];Journal of Anhui Agricultural Sciences;2009-09
7 ZHAO Wan-ming et al(College of Electronic Information Engineering,Southwest Petroleum University,Nanchong,Sichuan 637001);Rural Electricity Consumption Demand Forecasting Based on Support Vector Machine[J];Journal of Anhui Agricultural Sciences;2009-25
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【Secondary Citations】
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