SUPPORT VECTOR MACHINE FOR CLASSIFICATION BASED ON FUZZY TRAINING DATA

摘要：

Support vector machines (SVMs) have been very successful in pattern recognition and function estimation problems, but in the support vector machines for classification, the training examples are non-fuzzy input and output is y=±1; In this paper, we introduce the support vector machine which the training examples are fuzzy input, and give some solving procedure of the Support vector machine with fuzzy training data.

关键词： Support vector machine fuzzy training examples possibility measure fuzzy linear separable example fuzzy chance constraint programming

作者: AI-BING JI JIA-HONG PANG SHU-HUAN LI JIAN-PING SUN

作者单位: College of Medicine, Hebei University, Baoding, 071000, Hebei, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 1609-1614

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）