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Improving central air conditioning energy saving control system through BP neural network and genetic algorithm

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4 Author(s)
Zhang Zengdong ; Coll. of Inf. Sci. & Technol., Xiamen Univ., Xiamen, China ; Ni Ziwei ; Jiang Yi ; Lin Fan

BP artificial neural network is a non-feedback network. This paper utilizes the initial weights of neural network to choose controller performance. Simultaneously according to the characteristics that process of central air-conditioning energy saving control is the system of multi-parameter and nonlinear time-varying complexity, we analysis and study its algorithm and system architecture. The experimental results demonstrate that new control system gets better results and energy saving.

Published in:

Computer Application and System Modeling (ICCASM), 2010 International Conference on  (Volume:1 )

Date of Conference:

22-24 Oct. 2010