Title :
The application of artificial neural network in HVAC system
Author :
Zhou, Zhi-Hua ; Xia, Ying
Author_Institution :
Sch. of Environ. Sci. & Technol., Tianjin Univ., China
Abstract :
Because of the complex calculation for traditional PMV index in HVAC field, the prediction of thermal load is inaccurate, and the PID algorithm can hardly be used to control its system accurately and timely. This article sets forth the theory of artificial neural network (ANN) and its application in this field. Then it introduces the improved BP model used in back-propagation training forward multilevel neural network algorithm, and indicates that the ANN system can be widely used in the HVAC field.
Keywords :
HVAC; backpropagation; learning (artificial intelligence); neural nets; HVAC system; PID algorithm; artificial neural network; back-propagation training; forward multilevel neural network algorithm; thermal load prediction; Artificial neural networks; Biological neural networks; Centralized control; Control systems; Humidity control; Intelligent networks; Neurons; Solar heating; Temperature control; Three-term control; Artificial neural network; HVAC; PMV index; control;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527787
