STUDY ON FUZZY NEURAL NETWORKS FOR FIRE DETECTION

Zhang Benkuang; Wu Longbiao; Wang Jinjun

Volume 22 Issue 4

Jul. 2000

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Article Navigation > Journal of Electronics & Information Technology > 2000 > 22(4): 687-691

Zhang Benkuang, Wu Longbiao, Wang Jinjun . STUDY ON FUZZY NEURAL NETWORKS FOR FIRE DETECTION[J]. Journal of Electronics & Information Technology, 2000, 22(4): 687-691.

Citation:

Zhang Benkuang, Wu Longbiao, Wang Jinjun . STUDY ON FUZZY NEURAL NETWORKS FOR FIRE DETECTION[J]. Journal of Electronics & Information Technology, 2000, 22(4): 687-691.

Zhang Benkuang, Wu Longbiao, Wang Jinjun . STUDY ON FUZZY NEURAL NETWORKS FOR FIRE DETECTION[J]. Journal of Electronics & Information Technology, 2000, 22(4): 687-691.

Citation:

Zhang Benkuang, Wu Longbiao, Wang Jinjun . STUDY ON FUZZY NEURAL NETWORKS FOR FIRE DETECTION[J]. Journal of Electronics & Information Technology, 2000, 22(4): 687-691.

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STUDY ON FUZZY NEURAL NETWORKS FOR FIRE DETECTION

Received Date: 1998-12-04
Rev Recd Date: 1999-07-28
Publish Date: 2000-07-19

Abstract

Abstract

In this paper,the fire detection is divided into various rules related with the fire characteristic signals,the fuzzy theory and the neural networks are applied to get the rules.The new algorithm combining the fuzzy theory and the neural networks is deduced.The results are manifested:the fuzzy neural network is an effective technology for fire detection.

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References(1)

References

刘增良，刘有才．模糊逻辑与神经网络理论研究与探索．北京：北京航空航天大学出版社，第一版，1996年5月，189-218．[2]Longbiao Wu,Deng Chao,Weicheng Fan.A new method in fire detection.Asia-Oceania associ-ation for fire detection science and technology,1995.9,256-261.[3]Takagi T,Sugeno M.Fuzzy identification of systems and its applications to modeling and control.IEEE Trans.on SMC,1985,SMC-15(1):166-132.[4]Liu Chi-Teng,George C S.Neural-networks-based fuzzy logic control and decision system.IEEE Trans.on Computer,1991,C-40(12):1320-1336.

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