| 人工神经网络方法用于城市环境空气质量综合评价 |
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| 引用本文： | 杨国栋,潘大丰. 人工神经网络方法用于城市环境空气质量综合评价[J]. 能源环境保护, 2000, 14(3): 62-64 |
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| 作者姓名： | 杨国栋 潘大丰 |
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| 作者单位： | 1. 山西大学环境科学系,太原030006
2. 山西省农科院情报所 |
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| 摘 要： | 采用人工神经网络技术,建立了城市环境空气质量综合评价的ANN模型,并通过实例对建立的评价模型进行验证。结果证明,ANN模型用于区域环境空气质量评价,其评价结果比较直观。同时,对在建立和应用ANN模型时应注意的一些问题进行了讨论。
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| 关 键 词： | 神经网络 环境空气质量 综合评价 城市 |
| 修稿时间： | : |
APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN COMPREHENSIVE ASSESSMENT OF CITY AMBIENT AIR QUALITY |
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| Yang Guodong,Pan Dafeng. APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN COMPREHENSIVE ASSESSMENT OF CITY AMBIENT AIR QUALITY[J]. Energy Environmental Protection, 2000, 14(3): 62-64 |
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| Authors: | Yang Guodong Pan Dafeng |
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| Abstract: | ANN model used the comprehensive assessment of city ambient air quality was formulated based on artificial neural networks (ANN)technology and the data from coal - economy city,Datong city were used to test this ANN model. The results showed that the ANN model could obtain a directly - quantitative results in the comprehensive assessment of city regional ambient air quality. Meanwhile, some problems were discussed in establishment and application of ANN model. |
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| Keywords: | artificial neural network ambient air quality comprehensive assessment |
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