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

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.