火灾探测的模糊神经网络方法研究
STUDY ON FUZZY NEURAL NETWORKS FOR FIRE DETECTION
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摘要: 本文把火灾的探测归结为与火灾特征信号相对应的各种规则，并用模糊技术和神经网络提取这种规则，推导了神经网络和模糊技术相结合的新算法。分析结果表明：模糊神经网络用于火灾探测是行之有效的方法。
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关键词:
- 模糊规则;神经网络;火灾探测
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. -
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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