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Estimating pollutant emission into the atmosphere: a neural network approach


  • Crescenzio Gallo


  • Alessandro Rinaldi


A very significant issue today concerns the problem of air pollution caused mainly by human activity. The statistics show that most of the pollutants in the atmosphere is due to emissions caused by anthropogenic factors (e.g. power and industrial plants, traffic and combustion phenomena in general). In this paper we evaluate the implementation of a model using artificial neural networks to forecast short-term rate of air pollution for supporting environmental policy decisions.

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  • Crescenzio Gallo & Alessandro Rinaldi, 2011. "Estimating pollutant emission into the atmosphere: a neural network approach," Quaderni DSEMS 10-2011, Dipartimento di Scienze Economiche, Matematiche e Statistiche, Universita' di Foggia.
  • Handle: RePEc:ufg:qdsems:10-2011

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