STUDY ON SVM ON-LINE FUNCTION REGRESSION METHOD FOR MASS DATA

摘要：

In order to overcome the problems that the SVM training time is too long for a large number of samples and that SVM cannot be trained online when the samples increase dynamically, a new approach of SVM online function regression for mass samples is put forward in this paper.And the validity of this method is proved by simulation experiment.

关键词： Online Support vector machine Function regression

作者: JIN-LONG AN QING-XIN YANG ZHEN-PING MA

作者单位: Province-Ministry Joint Key Laboratory Of Electromagnetic Field And Electrical Apparatus Reliability Hebei University Of Technology, Tianjin, China,300130

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 2773-2777

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）