摘要
本文先介绍了神经元网络的基本概念和优点,然后从系统辨识问题出发,阐述了如何应用神经元网络进行系统辨识,最后介绍了几种典型神经元网络的学习算法。
The fundamental concepts and advantages of neural network models are introduced in this paper in order to make it clear that the neural (?)etwork is a powerful tool for system identification. The general form(?)tion of system identification is given to describe the process. We identify the systems by using neural network models. At last several useful algorithms are given and these algorithms can be used directly in systems identification without modification.
出处
《系统工程》
CSCD
1991年第3期56-59,73,共5页
Systems Engineering
关键词
神经网络
系统辨识
应用
Neural network
System identification
Algorithm
