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  • 标题:A survey on Air Quality forecasting Techniques
  • 本地全文:下载
  • 作者:Niharika ; Venkatadri M ; Padma S.Rao
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2014
  • 卷号:5
  • 期号:1
  • 页码:103-107
  • 出版社:TechScience Publications
  • 摘要:Air pollution is becoming an environmental threat with the increase in industrialization and urbanization. The air quality is becoming essential both for the environment as well to the society. There are different type of numerical as well as statistical tools for the prediction and analysis of air quality, but Artificial Neural Network is considered to be an excellent predictive and data analysis tool for Air quality forecasting. Hence, this paper focusses on a comprehensive review on existing air quality forecasting techniques through soft computing.
  • 关键词:Air quality; Artificial Neural Network; Fuzzy;logic; Air pollutants; Software tools for ANN.
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