Articles | Volume 30, issue 6
https://doi.org/10.5194/angeo-30-963-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-30-963-2012
© Author(s) 2012. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular paper
| 
12 Jun 2012
Regular paper |
| 12 Jun 2012
Estimating the geoeffectiveness of halo CMEs from associated solar and IP parameters using neural networks
J. Uwamahoro
Department of Mathematics and Physics, Kigali Institute of Education [KIE], P.O. Box 5039 – Kigali, Rwanda
South African National Space Agency [SANSA], Space Science, 7200 Hermanus, South Africa
L. A. McKinnell
South African National Space Agency [SANSA], Space Science, 7200 Hermanus, South Africa
Department of Physics and Electronics, Rhodes University, Grahamstown 6140, South Africa
J. B. Habarulema
South African National Space Agency [SANSA], Space Science, 7200 Hermanus, South Africa
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- Relevance vector machines as a tool for forecasting geomagnetic storms during years 1996–2007 T. Andriyas & S. Andriyas https://doi.org/10.1016/j.jastp.2015.02.005
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- A neural network system for estimation of the geomagnetic field disturbance O. Mandrikova et al. https://doi.org/10.1051/e3sconf/20161100013
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