DLF神经网络在多变量非线性系统中的设计与应用  

Design and Application of the Artificial Neural Network Based on DLF in the Multivariable and Nonlinear System

作　　者：陈铁梅[1] 

机构地区：[1]广东商学院信息学院,广东广州510320

出　　处：《中原工学院学报》2005年第2期60-63,共4页Journal of Zhongyuan University of Technology

摘　　要：　为了克服PID控制器和一般神经网络的缺点,探讨了基于DLF神经网络控制器在多变量非线性系统的应用,并与传统的PID控制器和一般神经网络的控制效果进行了比较.结果表明,DLF神经网络控制器对多变量非线性系统具有训练速度快和较强的解耦能力.This paper overcomes the disadvantage of the PID controller and the artificial neural network controller, it discusses the control effect of the artificial neural network controller based on DLF on multiple variable and nonlinear system. Compared with traditional PID controller and the artificial neural network controller, the control effect of the artificial neural network controller based on DLF has the advantage of quick training rate and releasing the relationship between the multiple and nonlinear variable in the nonlinear system.

关 键 词：DLF 人工神经网络 非线性系统 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]