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Annales Geophysicae An interactive open-access journal of the European Geosciences Union
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Volume 14, issue 1
Ann. Geophys., 14, 20–26, 1996
https://doi.org/10.1007/s00585-996-0020-z
© European Geosciences Union 1996
Ann. Geophys., 14, 20–26, 1996
https://doi.org/10.1007/s00585-996-0020-z
© European Geosciences Union 1996

  31 Jan 1996

31 Jan 1996

On the prediction of solar activity using different neural network models

F. Fessant, S. Bengio, and D. Collobert F. Fessant et al.

Abstract. Accurate prediction of ionospheric parameters is crucial for telecommunication companies. These parameters rely strongly on solar activity. In this paper, we analyze the use of neural networks for sunspot time series prediction. Three types of models are tested and experimental results are reported for a particular sunspot time series: the IR5 index.

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