An Improved Closest Cluster Learning Algorithm
Jiexing Li · Control theory & applications · 2000
This paper brings up an improved closest cluster learning algorithm for adaptive fuzzy logical system(AFLS),which combines the non supervised algorithm and the gradient based algorithm.Besides,to determine the process of clustering,both influences of samples inputs and outputs are considered simultaneously,and a self adaptive method for selecting cluster radius is used.Two examples are presented to show the briefness,rapidity and effectiveness of the proposed algorithm.