FORECASTING OF PM2.5 CONCENTRATION IN BEIJING USING HYBRID DEEP LEARNING FRAMEWORK BASED ON ATTENTION MECHANISM

Forecasting of PM2.5 Concentration in Beijing Using Hybrid Deep Learning Framework Based on Attention Mechanism

Air pollution has become a critical factor affecting the health of human beings.Forecasting the trend of air pollutants will be of considerable help to public health, including improving early-warning systems.The article designs a novel hybrid deep learning framework FPHFA (FPHFA is orange zinger tomato the abbreviation of the title of this paper)

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