A learning process for fuzzy control rules using genetic algorithms

被引：113

作者：

Herrera, F ^{[1
]}

Lozano, M ^{[1
]}

Verdegay, JL ^{[1
]}

机构：

[1] Univ Granada, ETS Ingn Informat, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

来源：

FUZZY SETS AND SYSTEMS | 1998年 / 100卷 / 1-3期

关键词：

fuzzy logic control systems; learning; genetic algorithms;

D O I：

10.1016/S0165-0114(97)00043-2

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The purpose of this paper is to present a genetic learning process for learning fuzzy control rules from examples. It is developed in three stages: the first one is a fuzzy rule genetic generating process based on a rule learning iterative approach, the second one combines two kinds of rules, experts rules if there are and the previously generated fuzzy control rules, removing the redundant fuzzy rules, and the third one is a tuning process for adjusting the membership functions of the fuzzy rules. The three components of the learning process are developed formulating suitable genetic algorithms. (C) 1998 Elsevier Science B.V. All rights reserved.

引用

页码：143 / 158

页数：16

共 50 条

[41] Continuous Parameter Control in Genetic Algorithms using Policy Gradient Reinforcement Learning
de Miguel Gomez, Alejandro
Toosi, Farshad Ghassemi
PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE (IJCCI), 2021, : 115 - 122
[42] A study of the reasoning methods impact on genetic learning and optimization of fuzzy rules
de Castro, PA
Camargo, HA
ADVANCES IN ARTIFICIAL INTELLIGENCE - SBIA 2004, 2004, 3171 : 414 - 423
[43] Design of optimum fuzzy controller using genetic algorithms
Eksin, I
Erol, OK
MELECON '96 - 8TH MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, PROCEEDINGS, VOLS I-III: INDUSTRIAL APPLICATIONS IN POWER SYSTEMS, COMPUTER SCIENCE AND TELECOMMUNICATIONS, 1996, : 186 - 190
[44] On-line fuzzy identification using genetic algorithms
Chow, KM
Rad, AB
FUZZY SETS AND SYSTEMS, 2002, 132 (02) : 147 - 171
[45] Development of fuzzy regression models using genetic algorithms
Mogilenko, AV
Pavlyuchenko, DA
Manusov, VZ
INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, 2003, 11 (04) : 429 - 444
[46] Fuzzy assembly line balancing using genetic algorithms
Gen, M
Tsujimura, Y
Li, YX
COMPUTERS & INDUSTRIAL ENGINEERING, 1996, 31 (3-4) : 631 - 634
[47] Contact Friction Compensation for Robots Using Genetic Learning Algorithms
Der-Cherng Liaw
Jeng-Tze Huang
Journal of Intelligent and Robotic Systems, 1998, 23 : 331 - 349
[48] Genetic algorithms and fuzzy control: a practical synergism for industrial applications
Acosta, G
Todorovich, E
COMPUTERS IN INDUSTRY, 2003, 52 (02) : 183 - 195
[49] Utilizing Genetic Algorithms to Optimize Membership Functions for Fuzzy Weighted Association Rules Mining
Mehmet Kaya
Reda Alhajj
Applied Intelligence, 2006, 24 : 7 - 15
[50] Fuzzy-enhanced adaptive control for flexible drive system with friction using genetic algorithms
Lin, LC
Lin, YJ
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 1998, 23 (2-4) : 379 - 405

← 1 2 3 4 5 →