The system simulation based on RBF neural network

摘要：

In recent years, with the development of intelligent control theory, neural network theory is applied in various fields. It expands the concept of the calculating content so that the neural computation and evolutionary computation become new subjects. In this paper, RBF neural networks is mainly studied, the recursive least squares method is used to solute the question and several typical input and output control systems are simulated, the error of produced by RBF neural network is obtained and the error factors are analyzed and the system is in the optimal state.

关键词： neural network RBF network recursive least squares method control system error

作者: Zheng Zhongqiao Zhang Yanhong

作者单位: School of Electronic Information & Electric Engineering Changzhou Institute of Technology Changzhou, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 10-13

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）