کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9650561 | 1437522 | 2005 | 18 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems](/preview/png/9650561.png)
چکیده انگلیسی
In this paper, we propose the use of weighted linguistic fuzzy rules in combination with a rule selection process to develop accurate fuzzy logic controllers dedicated to the intelligent control of heating, ventilating and air conditioning systems concerning energy performance and indoor comfort requirements. To do so, a genetic optimization process considering an efficient approach to perform rule weight derivation and rule selection is developed. This allows the tuning of the system to be developed at the rule level. The proposed technique was tested considering a physical modelization of a real test site.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 18, Issue 3, April 2005, Pages 279-296
Journal: Engineering Applications of Artificial Intelligence - Volume 18, Issue 3, April 2005, Pages 279-296
نویسندگان
Rafael Alcalá, Jorge Casillas, Oscar Cordón, Antonio González, Francisco Herrera,