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Proceedings Paper

Neural fuzzy network applied in fire detection system
Author(s): Zhiquan Li; Chunling Fan; Lingshi Yao; Xifu Qiang
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Paper Abstract

A neural-fuzzy network applied in fire detection system is presented in this paper. New Back-Propagation algorithm with optimization-based architecture revised automatically is proposed to train network structure. Experimental results show this system can detect china standard experimental fire correctly and lower false alarm.

Paper Details

Date Published: 5 October 2000
PDF: 5 pages
Proc. SPIE 4223, Instruments for Optics and Optoelectronic Inspection and Control, (5 October 2000); doi: 10.1117/12.401776
Show Author Affiliations
Zhiquan Li, Harbin Institute of Technology (China)
Chunling Fan, Yanshan Univ. (China)
Lingshi Yao, Yanshan Univ. (China)
Xifu Qiang, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 4223:
Instruments for Optics and Optoelectronic Inspection and Control
Guang Hui Wei; Sheng Liu, Editor(s)

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