摘要
本文介绍一种自适应模糊推理人工神经网络的函数逼近算法，并对其进行在线实时化改造。最后将该算法与传统系统辨识方法相结合应用于复杂系统分离辨识的试验。
In this paper an experiment is introduced,which refers to transfering the adaptive fuzzy inference neural network into an on line real time algorithm,combining the algorithm with conventional system identification method and applying them to seperate identification of nonlinear multi variable systems.
出处
《系统工程与电子技术》
EI
CSCD
1998年第7期68-73,共6页
Systems Engineering and Electronics
关键词
模糊算法
非线性系统
误差控制
人工神经网络
Adaptive fuzzy inference neural network,Conventional system identification,Gaos Newton recursive on step error forcast algorithm,Nonlinear multi variable system with mixed input/output paths,Seperate identification.
