Parameter Selection for SVM Using Niches Genetic Algorithm in Determined Range

摘要：

An automatic selection method for Support Vector Machine (SVM) parameters using niches genetic algorithm in determined range is proposed. Firstly, the limit range of each parameter is determined by analyzing relation between SVM parameters and model capability. Then regard the determined range as search region and use the niches genetic algorithm to automatically search the optimal parameter values of SVM. The experiments are given to illustrate the effectiveness of the method.

关键词： Support Vector Machine Genetic Algorithm Niches Share Function

作者: Gan Xusheng Cong Wei Lu Yongxiang

作者单位: XiJing College, Xi’an,Shaanxi, 710123, China; Engineering College, Air Force Engineering University, Xi’an, Shaanxi, 710038, China; Miitary Representative Office of PLA Stationing at QingAn co. LTD, Xi’an, Shaanxi, 710077, China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

会议地点: 成都

会议语种:英文

页码: 1-5

在线出版日期: 2010-04-16（万方平台首次上网日期，不代表论文的发表时间）