摘要
基于模糊随机样本,提出了熵、退火熵、生长函数和VC维等概念,并在此基础上构建了基于VC维的学习过程一致收敛速度的界;给出了基于模糊随机样本的结构风险最小化原则(FSSRM原则),证明了基于FSSRM原则下收敛速度渐进分析的相关性质。
The concepts of entropy,annealed entropy,growth function and VC dimension are proposed based on fuzzystochastic samples,and on the basis of these,the bounds on the rate of uniform convergence of learning process based on VC dimension are constructed.At same time,the idea of the structural risk minimization principle based fuzzy-stochastic samples has been presented,relative properties of asymptotic analysis about convergent rate based on FSSRM principle have been also proved.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第34期51-55,144,共6页
Computer Engineering and Applications
基金
国家自然科学基金(No.61073117)
安徽大学学术创新团队资助(No.KJTD001B)
安徽大学人才队伍建设经费
安徽省高等学校青年基金项目(No.2011SQRL186)
高等学校优秀青年人才基金~~
关键词
模糊随机样本
VC维
结构风险最小化原则
渐进分析
fuzzy-stochastic samples
VC dimension
the structural risk minimization principle
asymptotic analysis.
