| 一种基于神经网络的混合气体体积分数预测模型 |
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| 引用本文： | 王智文,张记龙,王志斌,陈媛媛.一种基于神经网络的混合气体体积分数预测模型[J].传感器与微系统,2011,30(3):67-69,72. |
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| 作者姓名： | 王智文 张记龙 王志斌 陈媛媛 |
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| 作者单位： | 1. 山西省光电信息与仪器工程技术研究中心,山西,太原,030051
2. 中北大学,仪器科学与动态测试教育部重点实验室,山西,太原,030051;山西省光电信息与仪器工程技术研究中心,山西,太原,030051 |
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| 基金项目： | 科技部国际合作计划资助项目，山西省国际合作计划资助项目，山西省科技攻关计划资助项目，山西省科技平台建设计划资助项目 |
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| 摘 要： | 针对目前混合气体预测建模中的建模时间过长和泛化能力较差的问题,采用主成分提取(PCE)结合贝叶斯正则化神经网络法进行了改进.通过对4种常见污染气体CH4,CO,SO2,NO2的混合红外吸收光谱进行了分析,得到了各单一气体的体积分数.使用Matlab软件编程构建了网络,并优化了网络参数.结果表明:该方法使网络建模时间从4...
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| 关 键 词： | 多气体定量分析 红外吸收 主成分提取 贝叶斯正则化神经网络 |
A prediction model of volume fraction of mixed gas based on neural network |
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| WANG Zhi-wen,ZHANG Ji-long,WANG Zhi-bin,CHEN Yuan-yuan.A prediction model of volume fraction of mixed gas based on neural network[J].Transducer and Microsystem Technology,2011,30(3):67-69,72. |
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| Authors: | WANG Zhi-wen ZHANG Ji-long WANG Zhi-bin CHEN Yuan-yuan |
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| Affiliation: | 1.Key Laboratory of Instrumentation Science & Dynamic Measurement of Ministry of Education,North University of China,Taiyuan 030051,China;2.Opto-Electronic Information and Instrument EngineeringTechnology Research Center of Shanxi Province,Taiyuan 030051,China) |
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| Abstract: | Aimed at the problems of too long modeling time and poor generalization in prediction modeling of mixed gas,principal component extraction(PCE)combined with Bayesian regularization neural network method is used.The mixed infrared absorption spectrum of four common polluted gases CH4,CO,SO2 and NO2 is analyzed,and each single gas volume fraction is obtained respectively.The network is constructed by programming with Matlab software,and the network parameters are optimized.The result shows that the modeling time of the network reduces from 4 250 s to 8 s,but the prediction goodness of fitting keeps mostly unchangeable,reaching to 95.1 %.Compared to conventional back-propagation(BP)neural network,the method has better prediction effect and practical significance in quantitative analysis of mixed gas in air pollution. |
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| Keywords: | quantitative analysis of mixed gas infrared absorption principal component extraction(PCE) Bayesian regularization neural network |
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