| BP网络应用于大气颗粒物的源解析 |
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| 引用本文： | 李祚泳,丁恒康.BP网络应用于大气颗粒物的源解析[J].中国环境监测,2005,21(2):74-76. |
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| 作者姓名： | 李祚泳 丁恒康 |
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| 作者单位： | 成都信息工程学院地球环境科学系,四川,成都,610041 |
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| 基金项目： | 国家自然科学基金，四川省教育厅资助项目 |
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| 摘 要： | 应用BP网络对大气颗粒物进行源解析,将大气采集样本中的元素含量和大气颗粒物源成分谱构成训练样本集,用BP网络进行训练,由训练好的网络的权值可以计算出大气颗粒物的污染排放源的权重贡献率.将BP源解析法的计算结果与其它源解析法得到的结果比较,表明BP网络应用于大气颗粒物的源解析是可行的.
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| 关 键 词： | 人工神经网络 大气颗粒物 源解析 |
| 文章编号： | 1002-6002(2005)01-0074-03 |
| 修稿时间： | 2003年12月10 |
Application of BP neural network to sources apportionment of atmospheric particulates |
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| LI Zuo_yong,et al.Application of BP neural network to sources apportionment of atmospheric particulates[J].Environmental Monitoring in China,2005,21(2):74-76. |
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| Authors: | LI Zuo_yong |
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| Abstract: | With the data of element contents in atmospheric samples and the source profiles of atmospheric particulates as training samples, BP network was applied to sources apportionment of atmospheric particulates. The weight contribution rates of sources of atmospheric particulates were calculated with the weights of trained BP network. Compared with the results from other methods, it shows that the application of BP neural network to sources apportionment of atmospheric particulates is practicable. |
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| Keywords: | BP neural network atmospheric particulate sources apportionment |
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