| Issue |
E3S Web Conf.
Volume 11, 2016
VII International Conference “Solar-Terrestrial Relations and Physics of Earthquakes Precursors”
|
|
|---|---|---|
| Article Number | 00013 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/e3sconf/20161100013 | |
| Published online | 04 November 2016 | |
A neural network system for estimation of the geomagnetic field disturbance
1 Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS, 684000, Kamchatskiy Kray, Paratunka, Mirnaya st., 7, Russia ;
2 Kamchatka State Technical University, 683003, Petropavlovsk-Kamchatsky, Klyuchevskaya st, 35
* e-mail: oksanam1@mail.ru
** e-mail: ekaterinazh1@mail.ru
The paper presents our software system for estimation the degree of disturbance of the geomagnetic field. The system automatically classifies registered geomagnetic data and determines the state of the geomagnetic field for the current day. The results of approbation of the system showed the prospect of its application in problems of estimation and prediction of space weather. The system allows us to allocate weak disturbances of the geomagnetic field, which may occur before strong magnetic storms.
© The Authors, published by EDP Sciences, 2016
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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