Predicting Daily Average SO2 Concentrations in the Industrial Area of Syracuse (Italy)

  • G. Nunnari
  • L. Bertucco
  • D. Milio


In this paper artificial neural networks are used to build 1- day-ahead SO2 prediction models. The structure of the model was obtained following appropriate statistical analysis of the time series.


Wind Direction Multilayer Perceptron Neural Network International Data Exchange Related Time Series Prediction Model Structure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • G. Nunnari
  • L. Bertucco
  • D. Milio
    • 1
  1. 1.Dipartimento Elettrico Elettronico e SisternisticoUniversità degli Studi di CataniaCataniaItaly

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