摘要
基于模糊逻辑系统一般数学模型,利用最近邻聚类学习算法对样本数据进行自适应分组,并对系统进行训练,从而使模糊逻辑系统具有自学习功能。
Basing on the normal mathematical model of fuzzy logic system, the clusters of the sample data were determined and the system was trained by using the nearest neighborhood clustering algorithm. So the fuzzy logic system has the adaptive learning ability.
出处
《控制与决策》
EI
CSCD
北大核心
1996年第4期514-516,共3页
Control and Decision
关键词
模糊逻辑系统
聚类学习算法
自适应模糊系统
算法
fuzzy logic system
nearest neighborhood clustering algorithm
adaptive fuzzy system