The principle of maximum entropy-based two-phase optimization of fuzzy controller by evolutionary programming

被引：0
|
作者：
Lee, CH [1 ]
Yuchi, M [1 ]
Myung, H [1 ]
Kim, JH [1 ]
机构：
[1] Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Taejon 305701, South Korea
来源：
GENETIC AND EVOLUTIONARY COMPUTATION - GECCO 2003, PT I, PROCEEDINGS | 2003年 / 2723卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary programming (EP) and the principle of maximum entropy (PME) based on the. previous research [1].
引用
收藏
页码：638 / 639
页数：2
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