Design and experimental study of fire warning system for data fusion

doi:10.12733/jics20105953

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	Design and experimental study of fire warning system for data fusion
	Pang, Juan; Sun, Jinling; Zhang, Zelong
刊名	Journal of Information and Computational Science
	2015-06-10
卷号	12 期号:9 页码:3629-3636
关键词	Data fusion Fire alarm systems Fires Fuzzy inference Fuzzy logic Fuzzy neural networks American standard Fire alarm Fusion model Fusion technology Multi-sensor information fusion Number of false alarms Viewing windows
ISSN号	15487741
DOI	10.12733/jics20105953
英文摘要	A fuzzy neural network based on data fusion technology applied in alarm systems is presented and utilized as a classifier. The performance of this network is compared with that of networks that employ BP and RBF as a classifier. Such comparison is conducted with a fire alarm system. To ensure the accuracy of the fire alarm system, American standard test data are employed. Results show that the proposed fusion model can provide fire warning rapidly and accurately and can effectively reduce the number of false alarms and alarm failure. ©, 2015, Journal of Information and Computational Science. All right reserved.
语种	英语
出版者	Binary Information Press
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/112337]
专题	兰州理工大学
作者单位	Lanzhou University of Technology, School of Economics and Management, Lanzhou, China
推荐引用方式 GB/T 7714	Pang, Juan,Sun, Jinling,Zhang, Zelong. Design and experimental study of fire warning system for data fusion[J]. Journal of Information and Computational Science,2015,12(9):3629-3636.
APA	Pang, Juan,Sun, Jinling,&Zhang, Zelong.(2015).Design and experimental study of fire warning system for data fusion.Journal of Information and Computational Science,12(9),3629-3636.
MLA	Pang, Juan,et al."Design and experimental study of fire warning system for data fusion".Journal of Information and Computational Science 12.9(2015):3629-3636.