摘要
简要分析了径向基函数(RBF)神经网络。在此基础上,介绍了K-均值聚类算法的神经网络、C-均值聚类算法的神经网络和PAM聚类算法的神经网络三种聚类算法的RBF神经网络。展望了基于聚类的RBF神经网络设计的发展趋势。
This paper briefly analyzed the mathematical model of RBF neural network. On this basis,three kinds of RBF net- work based on fuzzy clustering were introduced ：K-means clustering algorithm, C-means clustering algorithm and PAM clustering algorithm. Finally, it was expected about the future trend of design of RBF Network based on fuzzy clustering.
出处
《微型机与应用》
2012年第12期1-3,7,共4页
Microcomputer & Its Applications
关键词
聚类
RBF神经网络
发展趋势
fuzzy clustering
RBF network
the future trends
