A New Learning Algorithm for RBF Neural Networks

被引：0

作者：

Man Chun-tao ^{[1
]}

Yang Xu ^{[1
]}

Zhang Li-yong ^{[2
]}

机构：

[1] Harbin Univ Sci & Technol, Sch Automat, Harbin 150080, Peoples R China

[2] Sch Measurement Control Tech & Commun Engn, Harbin 150080, Peoples R China

来源：

2008 2ND INTERNATIONAL SYMPOSIUM ON SYSTEMS AND CONTROL IN AEROSPACE AND ASTRONAUTICS, VOLS 1 AND 2 | 2008年

关键词：

RBF Neural Network; Subtractive Clustering Algorithm; Nearest Neighbor Clustering Algorithm; Pruning Technique;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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 learning of training samples. The simulation results show that the effectiveness of the new algorithm.

引用

页码：623 / +

页数：2

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