A Solving Algorithm of Fuzzy Support Vector Machines Based on Determination of Membership

摘要：

　　In order to overcome the issues that Support Vector Machine is sensitive to the outlier and noise points,Fuzzy Support Vector Machine (FSVM) is proposed.The key issue to solve the FSVM is deteminate the fuzzy membership.This paper gives an overview of construction algorithm of the fuzzy membership.We also give an algorithm to solve FSVM that is derived from improved-SMO algorithm.

关键词： Support Vector Machine Fuzzy Support Vector Machine the fuzzy membership SMO

作者: Hua Duan Yanmei Hou

作者单位: College of Information Science and Technology Shandong University of Science and Technology

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 757-760

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）