【摘 要】
：
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
【机 构】
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State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, C
【出 处】
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Progress in Natural Science
论文部分内容阅读
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.
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. learning algorithm is created for a set membership membership 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.
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