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

Autor:	Ni Ziwei, Lin Fan, Zhang Zengdong, Jiang Yi
Rok vydání:	2010
Předmět:	Engineering Artificial neural network Control theory business.industry Robustness (computer science) Control system Genetic algorithm Systems architecture Process control Control engineering business Backpropagation Power control
Zdroj:	2010 International Conference on Computer Application and System Modeling (ICCASM 2010).
DOI:	10.1109/iccasm.2010.5620656
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::cb2b0ee58262f1e19db3f65bb7cd7db8 https://doi.org/10.1109/iccasm.2010.5620656 Zobrazit plný text záznamu