An Improvement on the Basic Least Squares Support Vector Machine Algorithm

摘要：

The study on the Least Squares Support Vector Machine (LS-SVM) algorithm is currently a ‘hot area of Support Vector Machine (SVM) study. Following Chuas work and the algorithm analysis thought already used in System Identification area, we make a further study to the basic LS-SVM, and make the algorithm more convenient to analyze the estimated parameters, as well as extend his thought to reduce the computing in the enlarged matrix dimension and new data adding cases. A view point is also shown in the paper, there are many similar analysis methods in System Identification theory suit for LS-SVM analysis, and researchers can get twice the result with half the effort if utilize them intentionally when in study.

关键词： Support Vector Machine Least Squares LS-SVM Algorithm

作者: Chen Bocheng Li Yingjie

作者单位: Graduate School at Shenzhen,Tsinghua University,518055,China Chinese University of HongKong,Shatian,Hongkong,China

会议类型: 国际会议

会议名称: 2009 6th International Conference on Service Systems and Service Management( 2009 第六届服务系统与服务管理国际会议)

会议地点: 厦门

会议语种:英文

页码: 879-882

在线出版日期: 2009-06-08（万方平台首次上网日期，不代表论文的发表时间）