IMPLEMENTING FUZZY-LOGIC CONTROLLERS USING A NEURAL NETWORK FRAMEWORK

被引：54

作者：

YAGER, RR

机构：

[1] Machine Intelligence Institute, Iona College, New Rochelle

来源：

FUZZY SETS AND SYSTEMS | 1992年 / 48卷 / 01期

关键词：

FUZZY LOGIC; NEURAL NETWORKS; INTELLIGENT CONTROL; FUZZY CONTROLLERS; ADAPTIVE SYSTEMS; EXPERT SYSTEMS;

D O I：

10.1016/0165-0114(92)90251-X

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

We describe a system for implementing fuzzy logic controllers using a neural network. A significant aspect of this system is that the linguistic values associated with the fuzzy control rules can be general concave continuous fuzzy subsets. By using structures suggested by the fuzzy logic framework, we simplify the learning requirements. On the other hand the adaptive aspect of the neural framework allows for the necessary learning.

引用

页码：53 / 64

页数：12

共 23 条

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