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Article Dans Une Revue International Journal of Modeling, Simulation, and Scientific Computing Année : 2015

Heterogeneous transfer functionsMultiLayer Perceptron (MLP) for meteorological time series forecasting

Résumé

In this paper, we propose to study four meteorological and seasonal time series coupled with a multi-layer perceptron (MLP) modeling. We chose to combine two transfer functions for the nodes of the hidden layer, and to use a temporal indicator (time index as input) in order to take into account the seasonal aspect of the studied time series. The results of the prediction concern two years of measurements and the learning step, eight independent years.We show that this methodology can improve the accuracy of meteorological data estimation compared to a classical MLP modelling with a homogenous transfer function.
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Dates et versions

hal-01099161 , version 1 (08-01-2015)

Identifiants

  • HAL Id : hal-01099161 , version 1

Citer

C Voyant, Ml Nivet, C Paoli, M Muselli, G Notton. Heterogeneous transfer functionsMultiLayer Perceptron (MLP) for meteorological time series forecasting. International Journal of Modeling, Simulation, and Scientific Computing, 2015, pp.100. ⟨hal-01099161⟩
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