A Review of Learning Algorithm for Radius Basis Function Neural Network

摘要：

In this paper, Radius Basis Function Neural Network’s basic learning algorithms are reviewed from the aspects of convergence, training speed, network structure, generalization, etc. Advantages and disadvantages of each learning algorithm are pointed out. And the prospect of dynamic neural network is considered.

关键词： Radius Basis Function Neural Network Growth method Pruning method PSO GA OLS

作者: Guohai Liu Xiahong Xiao Congli Mei Yuhan Ding

作者单位: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, 212013

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1112-1117

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）