Air Pollution Forecasting Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU

IEEE Access

Volumn 7, Issue , 2019, Pages 76690-76698

  Tao, Qing ^a   Liu, Fang ^a   Li, Yong ^b   Sidorov, Denis ^c  

^a CENTRAL SOUTH UNIVERSITY   (China)

^b HUNAN UNIVERSITY   (China)

^c ENERGY SYSTEMS INSTITUTE   (Russian Federation)

Author keywords

1D convolutional neural networks; Air pollution forecasting; bidirectional gated recurrent unit; deep learning

Indexed keywords

AIR POLLUTION; AIR POLLUTION CONTROL; CONVOLUTION; DEEP LEARNING; DEEP NEURAL NETWORKS; RECURRENT NEURAL NETWORKS; WIND;

AERODYNAMIC DIAMETERS; AIR POLLUTANT CONCENTRATIONS; AIR POLLUTION FORECASTING; BIDIRECTIONAL GATED RECURRENT UNIT; CONVOLUTIONAL NEURAL NETWORK; PREDICTION PERFORMANCE; SHORT-TERM FORECASTING; UCI MACHINE LEARNING REPOSITORY;

FORECASTING;

EID: 85068268247     PISSN: None     EISSN: 21693536     Source Type: Journal    
DOI: 10.1109/ACCESS.2019.2921578     Document Type: Article

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