信阳师范学院学报（自然科学版）2016，Vol.29Issue(4)：625-628,639,5.DOI:10.3969/j.issn.1003-0972.2016.04.032
基于 Hopfield 神经网络的自适应控制系统的设计与仿真
Design and Simulation of Self-Adaption Control System Based on Hopfield Neural Network
摘要
Abstract
A novel control system was designed by means of Hopfield neural network to solve the problem of control systems which are need external parameters. A Hopfield neural network was designed by three neurons, and the self⁃feedback mechanism to update neurons’ weights was used for the Hopfield neural network to implement the assignment of controlling. The simulation of Hopfield neural network was built by MATLAB platform, and the comparison of neural network output and reference standard output was built for the results. The results showed that the self⁃adaption control system based on Hopfield neural network has better precision of controlling. And it can complete common device control and has better feasibility and convenience.关键词
Hopfield 神经网络/自适应/误差反馈/控制系统Key words
Hopfield neural network/self-adaption/error feedback/control system分类
信息技术与安全科学引用本文复制引用
黄硕,李淑玉..基于 Hopfield 神经网络的自适应控制系统的设计与仿真[J].信阳师范学院学报（自然科学版）,2016,29(4):625-628,639,5.基金项目
河南省高新领域科技攻关项目 （）
