On the prediction of solar activity using different neural network models

Details On the prediction of solar activity using different neural network models On the prediction of solar activity using different neural network models

Jan 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996angeo..14...20f&link_type=abstract

Annales Geophysicae, vol. 14, Issue 1, pp.20-26

Physics

5

Scientific paper

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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