| 气体检测系统中BP神经网络的设计与实现 |
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| 引用本文： | 耿志广,王希武,王寅龙,神鹏飞.气体检测系统中BP神经网络的设计与实现[J].价值工程,2010,29(31):204-205. |
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| 作者姓名： | 耿志广 王希武 王寅龙 神鹏飞 |
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| 作者单位： | 中国人民解放军军械工程学院,石家庄050003 |
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| 摘 要： | 在简要概述气体检测系统原理的基础上,分析了BP神经网络模式识别的特性和结构,阐述了一种基于人工神经网络的混合气体检测方法。分析并研究了气体检测系统中BP神经网络结构的设计方法,构建了基于Matlab的BP网络模型,并实现了对CO、H2S和CH4三种混合气体的定性定量检测。
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| 关 键 词： | BP神经网络 传感器阵列 气体检测 |
The Design and Implementation of BP Neural Networks in the Gas Detection System |
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| Geng Zhiguang,Wang Xiwu,Wang Yinlong,Shen Pengfei.The Design and Implementation of BP Neural Networks in the Gas Detection System[J].Value Engineering,2010,29(31):204-205. |
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| Authors: | Geng Zhiguang Wang Xiwu Wang Yinlong Shen Pengfei |
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| Institution: | Geng Zhiguang;Wang Xiwu;Wang Yinlong;Shen Pengfei (People＇s Liberation Army Ordnance Engineering College,Shijiazhuang 050003,China) |
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| Abstract: | On the basis of the brief overview of principles of the electronic nose system,this article analyzed the characteristics and structure to explain a mixed gas detection method based on an artificial neural network. This article also analyzed and researched the method to design the structure of BP neural network for the gas detection,and dreamed up a model of BP neural network based on Matlab,it accordingly realizes the detection of qualitative and quantitative mixed gas which mixed with CO,H2S and CH4. |
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| Keywords: | BP Neural Network sensor array gas detection |
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