| 一种具有特征有效度的模糊支持向量机 |
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| 引用本文： | 顾成杰,张顺颐,黄河,孙雁飞.一种具有特征有效度的模糊支持向量机[J].南京邮电大学学报(自然科学版),2011,31(3):50-54,61. |
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| 作者姓名： | 顾成杰 张顺颐 黄河 孙雁飞 |
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| 作者单位： | 1. 南京邮电大学信息网络技术研究所,江苏南京,210003
2. 北京航空航天大学软件学院,北京,100083 |
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| 基金项目： | 国家高技术研究发展计划(863计划)(2006AA01Z232,2009AA01Z212,2009AA01Z202); 国家自然科学基金(61003237); 江苏省自然科学基金(BK2007603); 江苏省高技术研究计划(BG2007045); 江苏省重大科技支撑计划(BE2008134); 江苏省科技成果转化专项基金(BA2007012)资助项目 |
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| 摘 要： | 针对传统支持向量机对噪声或野值样本敏感和忽略样本各个特征对分类精度的不同影响,提出了一种具有特征有效度的模糊支持向量机(FW-FSVM).该方法通过对模糊支持向量机的模糊因子进行改进,将噪声或野值样本与有效样本进行区分.在此基础上根据信息增益计算样本各个特征的特征有效度,消除弱相关特征和冗余特征对分类精度的影响,从而构...
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| 关 键 词： | 模糊支持向量机 模糊因子 特征有效度 分类精度 |
Fuzzy Support Vector Machine with Feature Weighted Degree |
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| GU Cheng-jie,ZHANG Shun-yi,HUANG He,SUN Yan-fei.Fuzzy Support Vector Machine with Feature Weighted Degree[J].Journal of Nanjing University of Posts and Telecommunications,2011,31(3):50-54,61. |
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| Authors: | GU Cheng-jie ZHANG Shun-yi HUANG He SUN Yan-fei |
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| Institution: | GU Cheng-jie1,ZHANG Shun-yi1,HUANG He2,SUN Yan-fei1(1.Institute of Information Network Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China2.School of Software,Beijing University of Aeronautics and Astronautics,Beijing 100083,China) |
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| Abstract: | Since the traditional support vector machines are sensitive to noises or outliers and neglect the relative importance of each feature with classification accuracy,a novel fuzzy support vector machine with feature weighted degree(FW-FSVM) is proposed in this paper.This approach improves the feature factor on the basis of fuzzy support vector machine to classify the noise samples and outlier samples from the efficient samples.In order to diminish the effect of weak features or redundancies for classification ... |
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| Keywords: | fuzzy support vector machine feature factor feature weighted degree classification accuracy |
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