The inverse problem of support vector machines solved by a new intelligence algorithm

被引：0
|
作者：
Wang, Jingmin [1 ]
Ren, Guoqiao [1 ]
机构：
[1] North China Elect Power Univ, Dept Econ & Management, Baoding 071003, Hebei Province, Peoples R China
来源：
PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFORMATICS, VOLS 1 AND 2 | 2006年
关键词：
inverse problem; penalty factor; genetic algorithm; incorporated intelligence algorithm; support vector machine;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
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 inummogenetic 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.
引用
收藏
页码：685 / 689
页数：5
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