The Inverse Problem of Support Vector Machines Solved by a New Intelligence Algorithm

摘要：

An inverse problem of support vector machines (SVMs) was investigated The inverse problem is how to split a given dataset into two clusters such that the margin between the two clusters attains the maximum. Here the margin is defined according to the separating hyper plane generated by support vectors. It is difficult to give an exact solution to this problem. An immunogenetic particle swarm incorporated intelligence algorithm was proposed to solve this problem. This study on the inverse problem of SVMs is motivated by designing a heuristic algorithm for generating decision trees with high generalization capability. The application in the recognition of the bank risk shows it is effective.

关键词： inverse problem penalty factor genetic algorithm incorporated intelligence algorithm support vector machine.

作者: Jingmin Wang Guoqiao Ren

作者单位: Department of Economy and Management of North China Electric Power University

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 685-689

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）