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| Titel |
On the prediction of solar activity using different neural network models |
| VerfasserIn |
F. Fessant, S. Bengio, D. Collobert |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 14, no. 1 ; Nr. 14, no. 1, S.20-26 |
| Datensatznummer |
250012133
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| Publikation (Nr.) |
 copernicus.org/angeo-14-20-1996.pdf |
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| Zusammenfassung |
| 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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