Three hours ahead prevision of SO2 pollutant concentration using an Elman neural based forecaster

Building and Environment

Volumn 43, Issue 3, 2008, Pages 304-314

  Brunelli, U ^a   Piazza, V ^a   Pignato, L ^a   Sorbello, F ^a   Vitabile, S ^a  

^a UNIVERSITY OF PALERMO   (Italy)

Author keywords

Air quality; Forecasting; Modeling and measurement; Recurrent neural networks

Indexed keywords

AIR QUALITY; COMPUTER SIMULATION; HEALTH CARE; NEURAL NETWORKS; STOCHASTIC MODELS; SULFUR DIOXIDE;

ELMAN NEURAL NETWORK; HEALTH WARNING SYSTEM; POLLUTANT CONCENTRATION; POLLUTION MANAGEMENT;

INDOOR AIR POLLUTION;

AIR QUALITY; COMPUTER SIMULATION; HEALTH CARE; INDOOR AIR POLLUTION; NEURAL NETWORKS; STOCHASTIC MODELS; SULFUR DIOXIDE;

AIR QUALITY; COMPUTER SIMULATION; CONCENTRATION (COMPOSITION); FORECASTING METHOD; INDOOR AIR; POLLUTANT TRANSPORT; VENTILATION;

EID: 35448945580     PISSN: 03601323     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.buildenv.2006.05.011     Document Type: Article

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