Complex model identification based on RBF neural network

被引：0
|
作者：
Song, YB [1 ]
Wang, PJ [1 ]
Li, KL [1 ]
机构：
[1] Yanti Univ, Sch Comp, Shandong 264005, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2004, PT 2 | 2004年 / 3174卷
关键词：
RBF Neural Networks; learning algorithm; model identification;
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：
Based on the principle of Radial Basis Function (RBF) Neural Network, a learning method is presented for the identification of a complex system model. The RBF algorithm is employed on the learning and identifying process of the nonlinear model. The simulation results show that the presented method has good effect on speeding up the learning and approaching process of the nonlinear complex model, and has an excellent performance on learning convergence.
引用
收藏
页码：224 / 229
页数：6
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