摘要
本文给出了一种基于Ｆ数和插值原理设计的模糊神经控制器。它利用Ｆ数和插值原理增加了系统的信息量，解决了量化时量化等级选择的矛盾。利用神经网络的学习功能，通过学习，调整隶属函数、Ｆ数模型等来改善系统的输出响应。
This paper presents a fuzzy neuro controller based on fuzzy number and interpolation theory.By this means, the system is added more information, and the contradictory of selecting quanfitication level is solved. The output response of the system can be improved by making use of the learning function of the neural network.
出处
《系统工程与电子技术》
EI
CSCD
1997年第11期69-72,F003,共5页
Systems Engineering and Electronics
关键词
模糊算法
插值法
模糊控制系统
Fuzzy number,Interpolation theory, Fuzzy neuro controller.
