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A new fuzzy support vector machine based on the weighted margin
Qing, T; Jue, W
2004-12-01
发表期刊NEURAL PROCESSING LETTERS
卷号20期号:3页码:139-150
文章类型Article
摘要The ideas from fuzzy neural networks and support vector machine (SVM) are incorporated to make SVM classifiers perform better. The influence of the samples with high uncertainty can be decreased by employing the fuzzy membership to weigh the margin of each training vector. The linear separability, fuzzy margin, optimal hyperplane, generalization and soft fuzzy margin algorithms are discussed. A new optimization problem is obtained and SVM is then completely reformulated into a new fuzzy support vector machine (NFSVM). Moreover, the generation bound of NFSVM can be described. We also introduce the membership function in fuzzy neural networks to do some experiments. The results demonstrate that the proposed NFSVM can produce better results than regular SVM and Fuzzy Kernel Perceptron (FKP) in some real cases.
关键词Fuzzy Neural Networks Fuzzy Pattern Recognition Margin Maximal Margin Algorithm Support Vector Machines
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
关键词[WOS]PERCEPTRON
收录类别SCI
语种英语
WOS研究方向Computer Science ; Neurosciences & Neurology
WOS类目Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号WOS:000226369600001
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9048
专题09年以前成果
作者单位1.New Star Res Inst Appl Technol, Hefei 230031, Peoples R China
2.Chinese Acad Sci, Inst Automat, Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
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Qing, T,Jue, W. A new fuzzy support vector machine based on the weighted margin[J]. NEURAL PROCESSING LETTERS,2004,20(3):139-150.
APA Qing, T,&Jue, W.(2004).A new fuzzy support vector machine based on the weighted margin.NEURAL PROCESSING LETTERS,20(3),139-150.
MLA Qing, T,et al."A new fuzzy support vector machine based on the weighted margin".NEURAL PROCESSING LETTERS 20.3(2004):139-150.
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