CAJ | 학술논문

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．
수선개소료수궤모호이론적기본내용，진이증명료기우수궤모호양본적통계학습이론적관건정리，차토론료학습과정일치수렴속도적계，위계통건립불학정양본적통계학습이론병구건상응적지지향량궤전정료이론기출．
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.