| 模糊神经网络在火灾报警系统中的应用 |
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| 引用本文： | 杨效余,钱玮.模糊神经网络在火灾报警系统中的应用[J].自动化与仪表,2006,21(1):40-43. |
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| 作者姓名： | 杨效余 钱玮 |
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| 作者单位： | 中国科学院合肥智能机械研究所,中国科学院研究生院,合肥,230031 |
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| 摘 要： | 提出一种利用神经网络和模糊推理系统设计火灾报警系统的方法，该系统将模糊系统和神经网络结合起来，实现模糊系统的自学习和自适应功能，提高火灾报警的准确性，减少了火灾报警系统漏报率和误报率。神经网络的学习方法提高了该系统智能化程度。实现了消防系统智能化。
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| 关 键 词： | 模糊推理系统 神经网络 火灾报警系统 |
| 文章编号： | 1001-9944（2006）01-0040-04 |
| 收稿时间： | 2005-08-24 |
| 修稿时间： | 2005-08-242005-12-02 |
Neural Fuzzy Network Apply to Fire Alarm System |
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| YANG Xiao-yu,QIAN Wei.Neural Fuzzy Network Apply to Fire Alarm System[J].Automation and Instrumentation,2006,21(1):40-43. |
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| Authors: | YANG Xiao-yu QIAN Wei |
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| Affiliation: | Hefei Institute of Intelligent Machines,Chinese Academy of Sciences,Graduate University of Chinese Academy of Sciences,Hefei 230031 ,China |
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| Abstract: | This paper presents a multi-sensor fire detection algorithm.The processing of the sensor signals are carried out by fuzzy inference system based on neural network.Used fuzzy inference and neural network,the function of fuzzy system's self-learning and self-adaptation is achieved.Moreover,it increases the accuracy of fire-alarming and reduces the misinformation and missing information rate of the system.The intelligence of system is increased by using learing method of neural network,and it is an example of using intelligence control in firefight system? |
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| Keywords: | fuzzy inference system neural networ fire-alarming system |
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