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Method of fuzzy neural network for fire detection

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【作者】 姚伟祥； 吴龙标； 卢结成； 范维澄；

【Author】 YAO Weixiang , WU Longbiao , LU Jiechengand FAN Weicheng(State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China)

【机构】 State Key Laboratory of Fire Science； University of Science and Technology of China； Hefei 230027； China； China；

【摘要】 <正> A fuzzy neural network for fire detection is presented according to the characteristics of fire signals, and a calculating model of fuzzy inference is proposed to process fire signals. Fuzzy operations are applied to analyze synthetically different kinds of fire signals. Then, a calculating model of learning algorithm is created for a set of membership functions and fuzzy rules. The fuzzy neural network, which combines the techniques of neural network and fuzzy logic, offers a signal processing method for fire detection with fuzzy and adaptive characteristics simultaneously.

【Abstract】 A fuzzy neural network for fire detection is presented according to the characteristics of fire signals, and a calculating model of fuzzy inference is proposed to process fire signals. Fuzzy operations are applied to analyze synthetically different kinds of fire signals. Then, a calculating model of learning algorithm is created for a set of membership functions and fuzzy rules. The fuzzy neural network, which combines the techniques of neural network and fuzzy logic, offers a signal processing method for fire detection with fuzzy and adaptive characteristics simultaneously.

【关键词】 fuzzy neural network； fire detection； fuzzy operation； learning algorithm model.；
【Key words】 fuzzy neural network； fire detection； fuzzy operation； learning algorithm model.；
【基金】 Project supported by the National Natural Science Foundation of China (Grant No. 59336110).
  • 【文献出处】 Progress in Natural Science ,自然科学进展(英文版) , 编辑部邮箱 ,1999年08期
  • 【分类号】X924.3
  • 【被引频次】1
  • 【下载频次】46
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