Neural Nets pp 105-112 | Cite as

Learning and Data Driver Methods for Short Term Meteo Forecast

  • Eros Pasero
  • Walter Moniaci
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3931)


In this paper an “intelligent systems” based on neural networks and a statistical non parametric method evaluates the future evolution of meteorological variables and the occurrence of particular phenomena such as rain and road ice. The meteorological variables forecast system is based on a recurrent feed forward multi layer perceptron which make the forecasts using data coming from synoptic electronic sensors. Road ice is forecasted using an analytical model.


Meteorological Parameter Meteorological Variable Recurrent Neural Network Interface Temperature Multi Layer Perceptron 
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 Berlin Heidelberg 2006

Authors and Affiliations

  • Eros Pasero
    • 1
  • Walter Moniaci
    • 1
  1. 1.Department of Electronic EngineeringPolytechnic of Turin, INFN of TurinTurinItaly

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