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.
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;
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
DOI :
10.1109/ICIEA.2006.257316
