| BP神经网络法在大气污染预报中的应用研究 |
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| 引用本文： | 马雁军,杨洪斌,张云海.BP神经网络法在大气污染预报中的应用研究[J].气象,2003,29(7):49-51. |
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| 作者姓名： | 马雁军 杨洪斌 张云海 |
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| 作者单位： | 沈阳大气环境研究所,110016 |
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| 摘 要： | 近年来将BP网络模型应用到大气污染浓度预报中 ,并建立了大气污染物浓度的神经网络预报模型。将计算结果与监测值进行了验证 ,结果表明 :TSP的计算值与观测值之间的绝对误差为 4× 1 0 - 3～ 3× 1 0 - 2 mg·m- 3,NOX 的计算值与观测值之间的绝对误差为 5× 1 0 - 3～ 2× 1 0 - 2 mg·m- 3;且具有较好的相关性。BP模型是目前最为广泛应用的神经网络模型之一 ,它是一种简单而又非常有效的算法 ,BP神经网络法为城市空气污染预报工作提供了一种全新的思路和方法。
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| 关 键 词： | BP神经网络法 大气污染 预报 人工神经网络 模型 |
Study on Prediction of Atmosphere Pollution Concentration Based on BP Model |
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| Ma Yanjun,Yang Hongbin,Zhang Yunhai.Study on Prediction of Atmosphere Pollution Concentration Based on BP Model[J].Meteorological Monthly,2003,29(7):49-51. |
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| Authors: | Ma Yanjun Yang Hongbin Zhang Yunhai |
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| Abstract: | Recent years, BP model has been applied to atmospheric pollution forecast, a neural network prediction model of atmospheric pollutant concentration is set up. The research results show: the absolute errors of TSP between calculating and the monitoring is from 4×10-3mg·m-3to 3×10-2mg·m-3, the absolute errors of NOX between the calculating and the monitoring is from 5×10-3mg·m -3 to 2×10-2mg·m-3. The correlation between results of calculating and the monitoring is very well. As one of the neural network models, BP model has been applied widely, which is a simple and effective algorithm.So, BP neural network model has supplied a new way for the air pollution forecast. |
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| Keywords: | artificial neural network BP model atmospheric pollution forecast |
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