DeepAirNet: Applying Recurrent Networks for Air Quality Prediction

Procedia Computer Science

Volumn 132, Issue , 2018, Pages 1394-1403

  Athira, V ^a   Geetha, P ^a   Vinayakumar, R ^a   Soman, K P ^a  

^a AMRITA SCHOOL OF ENGINEERING   (India)

Author keywords

Air quality; deep learning: recurrent neural network (RNN); feed forwards neural network (FFN); Gated Recurrent Unit (GRU); long short term memory (LSTM); PM10

Indexed keywords

AIR QUALITY; BRAIN; DEEP LEARNING; DEVELOPING COUNTRIES; FORECASTING; NUMERICAL METHODS; TOPOLOGY;

AIR QUALITY PREDICTION; ECONOMIC ADVANCEMENTS; FEED FORWARD; GATED RECURRENT UNIT (GRU); PARTICULATE MATTER 10; PM10; POLLUTANT CONCENTRATION; RECURRENT NEURAL NETWORK (RNN);

LONG SHORT-TERM MEMORY;

EID: 85049071023     PISSN: None     EISSN: 18770509     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2018.05.068     Document Type: Conference Paper

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