Recurrent fuzzy controller design by two-stage genetic algorithm with local and global mapping searches

被引：0
|
作者：
Juang, CF [1 ]
机构：
[1] Natl Chung Hsing Univ, Dept Elect Engn, Taichung, Taiwan
来源：
PROCEEDINGS OF THE 2002 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOL 1 & 2 | 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 recurrent fuzzy controller design in reinforced learning environment using two stage genetic algorithm (TSGA) with concurrent local and global mapping searches is proposed For fie local mapping search stage, it searches through the well performed bcal rules. In this stage, each individual represents only a fuzzy rule As to the global-mapping search stage each individual represents a whole fuzzy network. The stage is to determine which local rules should be combined together to achieve a good fizzy network. Finally, the performance of TSGA is verified from simulation comparisons.
引用
收藏
页码：1228 / 1233
页数：6
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