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	Determining of the delay time for a heating ventilating and air-conditioning plant using two weighted neural network approach
	Hu, MD; Cao, WM; Wang, SJ
刊名	Advances in neural networks - isnn 2004, pt 2
	2004
卷号	3174页码:786-791
ISSN号	0302-9743
通讯作者	Hu, md(humengdi1958@163.com)
英文摘要	This paper presents an two weighted neural network approach to determine the delay time for a heating, ventilating and air-conditioning (hvac) plan to respond to control actions. the two weighted neural network is a fully connected four-layer network. an acceleration technique was used to improve the general delta rule for the learning process. experimental data for heating and cooling modes were used with both the two weighted neural network and a traditional mathematical method to determine the delay time. the results show that two weighted neural networks can be used effectively determining the delay time for avac systems.
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
语种	英语
出版者	SPRINGER-VERLAG BERLIN
WOS记录号	WOS:000223502900126
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2426237
专题	半导体研究所
通讯作者	Hu, MD
作者单位	1.Zhejiang Univ Sci & Technol, Dept Civil Engn, Hangzhou, Peoples R China 2.Zhejiang Univ Technol, Informat Coll, Hangzhou 310014, Peoples R China 3.Chinese Acad Sci, Inst Semicond, Beijing 100083, Peoples R China
推荐引用方式 GB/T 7714	Hu, MD,Cao, WM,Wang, SJ. Determining of the delay time for a heating ventilating and air-conditioning plant using two weighted neural network approach[J]. Advances in neural networks - isnn 2004, pt 2,2004,3174:786-791.
APA	Hu, MD,Cao, WM,&Wang, SJ.(2004).Determining of the delay time for a heating ventilating and air-conditioning plant using two weighted neural network approach.Advances in neural networks - isnn 2004, pt 2,3174,786-791.
MLA	Hu, MD,et al."Determining of the delay time for a heating ventilating and air-conditioning plant using two weighted neural network approach".Advances in neural networks - isnn 2004, pt 2 3174(2004):786-791.

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