Genetic lateral and amplitude tuning with rule selection for fuzzy control of heating, ventilating and air conditioning systems

被引：0
|
作者：
Alcala, R. [1 ]
Alcala-Fdez, J.
Berlanga, F. J.
Gacto, M. J.
Herrera, F.
机构：
[1] Univ Granada, Dept Comp Sci & AI, E-18071 Granada, Spain
[2] Univ Jaen, Dept Comp Sci, E-23071 Jaen, Spain
来源：
ADVANCES IN APPLIED ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年 / 4031卷
关键词：
u;
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：
In this work, we propose the use of a new post-processing method for the lateral and amplitude tuning of membership functions combined with a rule selection to develop accurate fuzzy logic controllers dedicated to the control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements.
引用
收藏
页码：452 / 461
页数：10
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