自适应模糊逻辑系统的聚类学习算法研究  

Research of Training Algorithm of Adaptive Fuzzy Logic System Using Clustering

作　　者：李学锋[1] 黄万伟[1] 周凤岐[1] 

机构地区：[1]西北工业大学航天学院

出　　处：《控制与决策》1996年第4期514-516,共3页Control and Decision

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.

关 键 词：模糊逻辑系统 聚类学习算法 自适应模糊系统 算法 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置] TM571.64[自动化与计算机技术—控制科学与工程]