节点文献
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
【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.
【关键词】 人工神经网络;
环境空气质量;
综合评价;
【Key words】 artificial neural network; ambient air quality; comprehensive assessment;
【Key words】 artificial neural network; ambient air quality; comprehensive assessment;
- 【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