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NTIS 바로가기KSII Transactions on internet and information systems : TIIS, v.14 no.2, 2020년, pp.907 - 923
Li, Xiaoli (Beijing Key Laboratory of Computational Intelligence and Intelligent System) , Zhang, Shan (Faculty of Information Technology, Beijing University of Technology) , Wang, Kang (Faculty of Information Technology, Beijing University of Technology)
For the severe haze situation in the Beijing-Tianjin-Hebei region, conventional fine particulate matter (PM2.5) concentration prediction methods based on pollutant data face problems such as incomplete data, which may lead to poor prediction performance. Therefore, this paper proposes a method of pr...
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