【摘要】 提出了一种自适应模糊逻辑系统 (AFLS)的改进自适应学习算法 ,该算法将无导师学习算法与基于梯度信息的寻优学习算法相结和 ,并且在确定聚类过程中同时考虑样本输入与输出对聚类的影响更多还原

【Abstract】 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.更多还原