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Vestnik KRAUNC. Fiziko-Matematicheskie Nauki, 2016, Number 3(14), Pages 34–39
DOI: https://doi.org/10.18454/2079-6641-2016-14-3-34-39 (Mi vkam142) 		 
INFORMATION AND COMPUTATION TECHNOLOGIES

A neural network system for estimation of the geomagnetic field disturbance

O. V. Mandrikovaa, E. A. Zhizhikinaba

a Institute of Cosmophysical Research and Radio Wave Propagation FEB RAS
b Kamchatka State Technical University
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DOI: https://doi.org/10.18454/2079-6641-2016-14-3-34-39
Abstract: 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.
Keywords: geomagnetic field, neural networks, wavelet-transform.
Funding agency Grant number
Russian Science Foundation 14-11-00194
Russian Foundation for Basic Research 16-55-45007_ИНД_a
Received: 12.06.2016
Bibliographic databases:
Document Type: Article
UDC: 550.385
Language: Russian
Citation: O. V. Mandrikova, E. A. Zhizhikina, “A neural network system for estimation of the geomagnetic field disturbance”, Vestnik KRAUNC. Fiz.-Mat. Nauki, 2016, no. 3(14), 34–39
Citation in format AMSBIB
\Bibitem{ManZhi16}
\by O.~V.~Mandrikova, E.~A.~Zhizhikina
\paper A neural network system for estimation of the geomagnetic field disturbance
\jour Vestnik KRAUNC. Fiz.-Mat. Nauki
\yr 2016
\issue 3(14)
\pages 34--39
\mathnet{http://mi.mathnet.ru/vkam142}
\crossref{https://doi.org/10.18454/2079-6641-2016-14-3-34-39}
\elib{https://elibrary.ru/item.asp?id=27374030}
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