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用FSVM解决多类分类问题中不可分区域问题剖析
引用本文:徐文彬,陈美珠.用FSVM解决多类分类问题中不可分区域问题剖析[J].常熟理工学院学报,2007,21(8):84-88.
作者姓名:徐文彬  陈美珠
作者单位:1. 常熟理工学院,计算机科学与工程系,江苏,常熟,215500
2. 泰州职业技术学院,江苏,泰州,225300
摘    要:分析了支持向量机(SVM)的工作原理和将其推广到多类分类时会遇到的问题,对用模糊SVM(FSVM)解决此问题时的模糊策略作了详细论证,说明此模糊策略是非常完美的一个解决方案,并指出了进一步的研究方向。

关 键 词:支持向量机  模糊支持向量机  分类超平面
文章编号:1008-2794(2007)08-0084-05
收稿时间:2007-04-10

An Analysis of Resolving the Problem of Unclassifiable Regions in Multi-classification by Means of FSVM
XU Wen-bin,CHEN Mei-zhu.An Analysis of Resolving the Problem of Unclassifiable Regions in Multi-classification by Means of FSVM[J].Journal of Changshu Institute of Technology,2007,21(8):84-88.
Authors:XU Wen-bin  CHEN Mei-zhu
Abstract:This paper analyzes the principle of support vector machine(SVM) and points out problems encountered in its extension to multi-classification.To solve this problem,fuzzy strategy of fuzzy SVM(FSVM) has been demonstrated in detail.And this vague strategy is a very good solution.The paper also suggests a direction for further research.
Keywords:SVM  FSVM  classification hyperplane
本文献已被 CNKI 维普 万方数据 等数据库收录!
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