电子学报Issue(6)：1183-1187,5.DOI:10.3969/j.issn.0372-2112.2013.06.021
一种基于粗糙间隔的模糊支持向量机
A Rough Margin Based Fuzzy Support Vector Machine
摘要
Abstract
Based on fuzzy support vector machine (FSVM) ,we presented a rough margin based fuzzy support vector machine (RFSVM )by introducing the effects of positions of training samples in the margin on decision hyper-plane in this paper .After com-puting the degree of fuzzy membership of each training point ,we used these data for training to obtain the decision hyper-plane by maximizing rough margin′s method .In this algorithm ,points in the lower margin have major penalty than those in the boundary .We compared RFSVM with other support vector machine algorithms on several benchmark datasets .Experimental results show that RFSVM is effective and feasible .关键词
模糊支持向量机/粗糙间隔/分类/正确率Key words
fuzzy support vector machine(FSVM)/rough margin/classification/accuracy分类
信息技术与安全科学引用本文复制引用
李凯,卢霄霞..一种基于粗糙间隔的模糊支持向量机[J].电子学报,2013,(6):1183-1187,5.基金项目
国家自然科学基金（No ．61073121）；河北省自然科学基金 （）
