A Method To Select RBFNNs Center Based On the SOFM Network

摘要：

In order to improve the RBFNNs central choice method,proposed one kind of optimized choice radial basis function neural network data centers algorithm. This algorithm combined SOFM networks pattern classification ability,preliminary results of the classification used as the initial RBFNN data center,and then used OLS algorithm to train RBFNN. Simulation experiments show that the algorithms approximation ability and generalization ability is better than RBFNN only used the OLS algorithm.

关键词： Radial Basis Function Neural Network input samples SOFM Network Orthogonal Least Squares Method

作者: Mingwen Zheng Yanping Zhang

作者单位: ShanDong University of Technology School of Science ZiBo City,255049

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 87-89

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）