Forecasting air pollutant indicator levels with geographic models 3 days in advance using neural networks

Expert Systems with Applications

Volumn 37, Issue 12, 2010, Pages 7986-7992

  Kurt, Atakan ^a   Oktay, Ayşe Betül ^b  

^a FATIH UNIVERSITY   (Turkey)

^b GEBZE TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Air pollution; Air quality; CO; Data mining; Environmental expert systems; Forecasting; Geographic forecasting; Neural networks; Prediction; Spatial classification

Indexed keywords

AIR POLLUTION; AIR QUALITY; BACKPROPAGATION; CARBON; CARBON MONOXIDE; COBALT; DATA MINING; ERRORS; EXPERT SYSTEMS; NEURAL NETWORKS; POLLUTION; SULFUR DIOXIDE;

AIR POLLUTION INDICATORS; AIR QUALITY MONITORING STATIONS; EARLY WARNING SYSTEM; EXPERIMENTAL VERIFICATION; FEED-FORWARD BACK-PROPAGATION NEURAL NETWORKS; PARTICULATE MATTER; SPATIAL CLASSIFICATION; URBAN AIR POLLUTION;

FORECASTING;

EID: 77957840490     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.05.093     Document Type: Article

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