Optimization of fuzzy models

被引：38

作者：

Pedrycz, W ^{[1
]}

deOliveira, JV ^{[1
]}

机构：

[1] INESC,CONTROL DYNAM SYST GRP,P-1000 LISBON,PORTUGAL

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 1996年 / 26卷 / 04期

关键词：

D O I：

10.1109/3477.517038

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Fuzzy models are regarded as linguistic modeling structures with well-defined functional blocks of input and output interfaces along with a processing module. The paper examines the functions of these modules and specifies the relevant optimization tasks emerging in fuzzy system identification. Considering several distinct levels of conceptual memorization realized within the fuzzy models ( subsequently resulting in establishing short-, medium-, and long-term memories), the corresponding learning policies are developed. The study includes also detailed simulation studies.

引用

页码：627 / 636

页数：10

共 14 条

[1] COGNITIVE AND PSYCHOLOGICAL COMPUTATION WITH NEURAL MODELS [J].