A self-learning genetic fuzzy control system design

被引：0
|
作者：
Feng, HM [1 ]
Wong, CC [1 ]
机构：
[1] Yung Ta Inst Technol & Commerce, Dept Management Informat Syst, Pingtung, Peoples R China
来源：
PROCEEDING OF THE 2002 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-3 | 2002年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A self-learning structure is proposed such that the controlled system has the desired output without any expert knowledge. A genetic algorithm extracts necessary rules of fuzzy controllers and then a parameter tuning algorithm combines reinforcement learning and decision making mechanism can be used to approach the best one.
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页码：1310 / 1315
页数：4
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