E3S Web Conf.
Volume 20, 2017VIII International Conference “Solar-Terrestrial Relations and Physics of Earthquake Precursors”
|Number of page(s)||7|
|Section||Geophysical Fields and their Interactions|
|Published online||24 October 2017|
Prediction of geomagnetic indexes with the help of artificial neural networks
D.V.Skobeltsyn Institute of Nuclear Physics, M.V.Lomonosov Moscow State University, 119991 Moscow, Russia
* Corresponding author: email@example.com
The results of prediction of geomagnetic indexes characterizing the state of the Earth's magnetosphere obtained with the help of artificial neural networks (ANN) for various prediction horizons are presented. The forecasts are based on multivariate time series including the values of the geomagnetic indices themselves, as well as data about the parameters of solar wind and interplanetary magnetic field, during several latest hours.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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