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A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory
Qi, Yanlin; Li, Qi; Karimian, Hamed; Liu, Di
刊名Science of the Total Environment
2019
卷号664
ISSN号0048-9697
DOI10.1016/j.scitotenv.2019.01.333
URL标识查看原文
收录类别EI
语种英语
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4240766
专题武汉大学
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GB/T 7714
Qi, Yanlin,Li, Qi,Karimian, Hamed,et al. A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory[J]. Science of the Total Environment,2019,664.
APA Qi, Yanlin,Li, Qi,Karimian, Hamed,&Liu, Di.(2019).A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory.Science of the Total Environment,664.
MLA Qi, Yanlin,et al."A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory".Science of the Total Environment 664(2019).
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