模式识别与人工智能
2025年4月4日 星期五   首 页     期刊简介     编委会     投稿指南     伦理声明     联系我们                                                                English
模式识别与人工智能  2012, Vol. 25 Issue (2): 237-247    DOI:
论文与报告 最新目录| 下期目录| 过刊浏览| 高级检索 |
总间隔模糊超球学习机
陶剑文1,2,王士同1
1。江南大学信息工程学院无锡214122
2。浙江工商职业技术学院信息工程学院宁波315012
Total Margin Based Fuzzy Hypersphere Learning Machine
TAO Jian-Wen1,2, WANG Shi-Tong1
1.School of Information Engineering,Jiangnan University,Wuxi 214122
2.School of Information Engineering,Zhejiang Business Technology Institute,Ningbo 315012

全文: PDF (692 KB)   HTML (1 KB) 
输出: BibTeX | EndNote (RIS)      
摘要 为解决传统支持向量机易出现学习“过拟合”和丢失数据统计特征等问题,通过引入模糊隶属度和总间隔思想,提出一种基于总间隔的最大间隔最小包含模糊球形学习机(TMF-SSLM),使得一类(正类)被包含于一个最小包含超球内,而另一类(负类)与该超球间隔最大化,从而同时实现类间间隔的增大和正负两类类内体积的缩小。通过使用差异成本,解决不平衡训练样本问题。引入总间隔和模糊性惩罚,克服传统软间隔分类机的过拟合问题,显著提升球形学习机的泛化能力。采用UCI实际数据集分别对二类和一类模式分类进行实验,结果显示TMF-SSLM具有优于相关方法的稳定分类性能。
服务
把本文推荐给朋友
加入我的书架
加入引用管理器
E-mail Alert
RSS
作者相关文章
陶剑文
王士同
关键词 总间隔支持向量模糊支持向量机超球体    
Abstract:There are several problems in classical support vector machines, such as overfitting problem resulted from the outlier and class imbalance learning and the loss of the statistics information of training examples. Aiming at these problems, a total margin based fuzzy hypersphere learning machine (TMF-SSLM) is proposed by constructing a minimum hypersphere in Mercer kernel-induced feature space. The main idea of TMF-SSLM is that one class of binary patterns is enclosed in the minimum hypersphere, from which another one is separated away with maximum margin. Thus both maximum between-class margin and minimum within-class volume are implemented. The proposed TMF-SSLM solves the overfitting problem resulted from outliers by employing both the fuzzification of the penalty and total margin algorithm, as well as the imbalanced problem by using different cost algorithm. Theoretical analysis justifies that TMF-SSLM obtains a lower generalization error bound. The exprimental results obtained on real datasets show that the proposed algorithm is stable and superior to other related diagrams.
Key wordsTotal Margin    Support Vector    Fuzzy Support Vector Machine    Hypersphere   
收稿日期: 2010-05-14     
ZTFLH: TP181  
基金资助:国家自然科学基金(No.60975027,60903100)、宁波市自然科学基金(No.2009A610080)资助项目
作者简介: 陶剑文,男,1973年生,副教授,博士研究生,主要研究方向为模式识别、Web挖掘。E-mail:jianwen_tao@yahoo。com。cn。王士同,男,1964年生,教授,博士生导师,主要研究方向为人工智能、机器学习等。
引用本文:   
陶剑文,王士同. 总间隔模糊超球学习机[J]. 模式识别与人工智能, 2012, 25(2): 237-247. TAO Jian-Wen, WANG Shi-Tong. Total Margin Based Fuzzy Hypersphere Learning Machine. , 2012, 25(2): 237-247.
链接本文:  
http://manu46.magtech.com.cn/Jweb_prai/CN/      或     http://manu46.magtech.com.cn/Jweb_prai/CN/Y2012/V25/I2/237
版权所有 © 《模式识别与人工智能》编辑部
地址:安微省合肥市蜀山湖路350号 电话:0551-65591176 传真:0551-65591176 Email:bjb@iim.ac.cn
本系统由北京玛格泰克科技发展有限公司设计开发 技术支持:support@magtech.com.cn