Paper
5 October 2000 Neural fuzzy network applied in fire detection system
Zhiquan Li, Chunling Fan, Lingshi Yao, Xifu Qiang
Author Affiliations +
Proceedings Volume 4223, Instruments for Optics and Optoelectronic Inspection and Control; (2000) https://doi.org/10.1117/12.401776
Event: Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, 2000, Beijing, China
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiquan Li, Chunling Fan, Lingshi Yao, and Xifu Qiang "Neural fuzzy network applied in fire detection system", Proc. SPIE 4223, Instruments for Optics and Optoelectronic Inspection and Control, (5 October 2000); https://doi.org/10.1117/12.401776
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KEYWORDS
Fuzzy logic

Flame detectors

Network architectures

Signal processing

Sensors

Neural networks

Optimization (mathematics)

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