The Individual Credit Evaluation Based on COLS-SVM

摘要：

Least squares support vector machine (LSSVM) has been widely used in engineering practice, using for reference algorithm of combinatorial optimization, this paper puts forward the combinatorial optimization least squares support vector machine algorithm (COLS-SVM). Based on algorithmic analysis of COLS-SVM, it can be used on individual credit evaluation and compared with Lagrange support vector machine (LSVM) and K-nearest neighbor (KNN), the numerical experiment results show that the proposed COLS-SVM algorithm has good classified forecast ability. Individual credit evaluation is a general reflect of individual capital and credit situation, it has great significance and application value.

关键词： LSSVM COLS-SVM Individual credit characteristic data Individual credit evaluation

作者: Liu Taian Wang Yunjia Liu Wentong

作者单位: College of Environment and Spatial Informatics, China University of Mining & Technology (CUMT),Xuzho College of Environment and Spatial Informatics, China University of Mining & Technology (CUMT),Xuzho Nanyang Technological University (NTU), Singapore, 639798, Singapore

会议类型: 国际会议

会议名称: 2009 International Forum on Computer Science-Technology and Applications(2009年国际计算机科学技术与应用论坛 IFCSTA 2009)

会议地点: 重庆

会议语种:英文

页码: 455-457

在线出版日期: 2009-12-25（万方平台首次上网日期，不代表论文的发表时间）