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基于随机模糊样本的统计学习理论基础
引用本文:何其慧,王翠翠,毛军军.基于随机模糊样本的统计学习理论基础[J].合肥学院学报(自然科学版),2011,21(3):5-11.
作者姓名:何其慧  王翠翠  毛军军
作者单位:1. 安徽经济管理学院基础部,合肥,230059
2. 安徽大学数学科学学院,合肥,230039
基金项目:国家自然科学基金,安徽大学学术创新团队,安徽省高等学校优秀青年人才基金项目,安徽大学人才队伍建设经费资助
摘    要:首先介绍了随机模糊理论的基本内容,进而证明了基于随机模糊样本的统计学习理论的关键定理,且讨论了学习过程一致收敛速度的界,为系统建立不确定样本的统计学习理论并构建相应的支持向量机奠定了理论基础.

关 键 词:随机模糊样本  统计学习理论  关键定理  

The Statistical Learning Theory Based on Random Fuzzy Samples
HE Qi-hui,a,WANG Cui-cui a,MAO Jun-jun.The Statistical Learning Theory Based on Random Fuzzy Samples[J].Journal of Hefei University :Natural Sciences,2011,21(3):5-11.
Authors:HE Qi-hui  a  WANG Cui-cui a  MAO Jun-jun
Institution:HE Qi-hui1,2a,WANG Cui-cui 2a,MAO Jun-jun2(1.Foundation Department,Institute of Economic Management Anhui,Hefei 230059,2a.Department of Mathematical Sciences,2b.Key Laboratory of Intelligent Computing & Signal Processing of Ministry of Education,Anhui University,Hefei 230039,China)
Abstract:In this paper, firstly the basic content of Random-Fuzzy theory is introduced. Then the key theorem of statistical learning theory based on Random-Fuzzy sample is proofed, and the bounds on the rate of uniform convergence of learning process are discussed, tile investigations will help lay a theoretical foundation for the systematic and comprehensive development of statistical learning theory and corresponding to constructing support vector machine based on uncertain samples.
Keywords:random fuzzy samples  statistical learning theory  the key theorem  the bounds
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