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人工神经网络方法用于城市环境空气质量综合评价

APPLICATION OF ARTIFICIAL NEURAL NETWORK TECHNOLOGY IN COMPREHENSIVE ASSESSMENT OF CITY AMBIENT AIR QUALITY

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【作者】 杨国栋潘大丰

【Author】 Yang Guodong (Department of Environmental Science, Shanxi University, Taiyuan 030006)Pan Dafeng (Institute of Information, Shanxi Academy of Agriculture)

【机构】 山西大学环境科学系山西省农科院情报所 太原 030006

【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。

【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.

  • 【文献出处】 煤矿环境保护 , 编辑部邮箱 ,2000年03期
  • 【分类号】X824
  • 【被引频次】19
  • 【下载频次】269
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