Determining the Function Centers of RBF with Clustering Algorithms and Self-Organizing Map
作者单位：ANNG
会议名称：《1998 International Conference on Neural Networks and Brain(ICNN&B’98)》
会议日期：1998年
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：radial basis fucntion k-means algorithm ISODATA algorithm self-organizing map
摘 要：正In RBF network models,the determination of the location of the function centers requires various techniques for different *** RBF is applied in pattern recognition,this problem can be solved by pattern clustering *** this paper, we employ two clustering algorithms:k-means and ISODATA to solve the *** addition,selforganizing map is also used in the *** an example,RBF’s application in handwrittten digit recognition is also given.