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《Journal of Huaiyin Teachers College(Natural Science Edition)》 2014-01
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Study on the Optimal Sample Size of Small Business Credit Rating Based on SVM

XU Xu-chu;GAO Zhi;ZHAO Na;College of Finance,Anhui University of Finance and Economices;  
With the deeply reseach on credit rating,most reseachers have concluded that the Support Vector Machine( SVM) has many advantages in the enterprise credit rating. In order to explore the optimum number of samples of SVM,the paper selects the small enterprises of Anhui Province in 2007 and 2008 as samlies,using the method of SVM and gradual adjustment number of samples to explore the optimum number of samples.
【Fund】: 教育部规划基金项目(10YJA630181)
【CateGory Index】: F224;F270
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