| 基于模糊控制理论和神经网络的建筑火灾报警系统 |
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| 引用本文： | 王忠勇,王志勇,方千山.基于模糊控制理论和神经网络的建筑火灾报警系统[J].中国安全科学学报,2004,14(4):111-112,100. |
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| 作者姓名： | 王忠勇 王志勇 方千山 |
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| 作者单位： | 1. 华侨大学信息科学学院
2. 首都经济贸易大学安全工程系 |
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| 摘 要： | 针对目前建筑火灾事故频发及事故后果严重、影响大的现实问题 ,提出并介绍了基于模糊控制理论、人工神经网络的火灾安全报警系统 ,以及系统的作用原理。该系统依靠模糊控制理论提高了灵敏度 ,减少了误报率 ,并结合神经网络具有自学习功能的特点 ,提高了整个系统的智能化程度。
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| 关 键 词： | 模糊控制 神经网络 智能化 安全 |
Building Fire Alarm System Based on Fuzzy Theory and Neural Networks |
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| WANG Zhong-yong,Engineer WANG Zhi-yong FANG Qian-shan,Prof..Building Fire Alarm System Based on Fuzzy Theory and Neural Networks[J].China Safety Science Journal,2004,14(4):111-112,100. |
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| Authors: | WANG Zhong-yong Engineer WANG Zhi-yong FANG Qian-shan Prof |
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| Institution: | WANG Zhong-yong1,Engineer WANG Zhi-yong2 FANG Qian-shan1,Prof. |
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| Abstract: | A building fire alarm system based on fuzzy theory and neural networks and its working principle are introduced due to frequent occurrence of fire accidents and severe damages. The system would reduce the malfunction rate with high sensitivity. Also the neural network has function of self-learning, which would raise the degree of intelligence of the system. |
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| Keywords: | Fuzzy control Neural network Intelligence Safety |
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