A New Learning Algorithm for RBF Neural Networks

摘要：

A new method is presented in order to solve the problem of randomness of the initial selection for nearest neighbor clustering algorithm and redundant nodes introduced by subtractive clustering algorithm,namely, the algorithm that contain pruning technique of subtractive clustering algorithm and nearest neighbor clustering algorithm combine together,and accomplish the learnimg of training samples. The simulation results show that the effectiveness of the new algorithm.

关键词： RBF Neural Network Subtractive Clustering Algorithm Nearest Neighbor Clustering Algorithm Pruning Technique

作者: MAN Chun-tao YANG Xu ZHANG Li-yong

作者单位: School of Automation,Harbin University of Science and Technology,Harbin 150080,China School of Measurement-Control Tech & Communications Engineering,Harbin 150080,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 611-614

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）