An Improved APC-Ⅲ Algorithms RBFNN and Its Application in the Nonlinear System Model

摘要：

This paper proposed an improved APC-Ⅲ algorithm to determine RBFNNs hidden-layer structure. The improved algorithm obtained different radial basis width, less hidden-layer node number. We constructed RBFNN with the improved algorithm that got hidden-layer structure. And two nonlinear systems model simulations were carried on with the RBFNN. The simulation result indicated that its structure is simple and generalization performance produced RBFNN by improved algorithm is better than the original algorithm.

关键词： Radial Basis Function Neural Network Hidden layer structure APC-Ⅲ algorithm nonlinear system model

作者: Mingwen Zheng YanPing Zhang

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

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 527-530

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）