DocumentCode
2861779
Title
Modeling of HVAC based on Fuzzy RBF Neural Network
Author
Li, SH J. ; Cai, W.J. ; Zhang, X.Q. ; Xu, J.X.
Author_Institution
Sch. of Inf. & Sci. Eng., Shenyang Univ. of Technol.
fYear
2006
fDate
24-26 May 2006
Firstpage
1
Lastpage
5
Abstract
The paper proposed an improved algorithm of building the structure of fuzzy RBF neural network (RBFNN) for modelling of heating, ventilation and air-condition (HVAC). Combining the fuzzy clustering and neural network identified the model. Experiments showed the fuzzy RBFNN could accurately identify the model of HVAC even if having strong disturbance and coupling. The results demonstrated that the model outputs could approach actual outputs
Keywords
HVAC; fuzzy neural nets; power engineering computing; radial basis function networks; HVAC; fuzzy RBF neural network; fuzzy clustering; heating ventilation and air-condition; Buildings; Cooling; Ducts; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Heating; Mathematical model; Neural networks; Power engineering and energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications, 2006 1ST IEEE Conference on
Conference_Location
Singapore
Print_ISBN
0-7803-9513-1
Electronic_ISBN
0-7803-9514-X
Type
conf
DOI
10.1109/ICIEA.2006.257316
Filename
4025917
Link To Document