A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

Yanlin Qi; Di Liu; Hamed Karimian; Qi Li

doi:10.1016/j.scitotenv.2019.01.333

A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

Yanlin Qi(Peking University), Di Liu(Xi'an University of Architecture and Technology), Hamed Karimian(State Key Laboratory of Remote Sensing Science), Qi Li(Peking University)

The Science of The Total Environment

February 1, 2019

10.1016/j.scitotenv.2019.01.333

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A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory

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