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JOURNALS // Vestnik KRAUNC. Fiziko-Matematicheskie Nauki // Archive

Vestnik KRAUNC. Fiz.-Mat. Nauki, 2016 Number 3(14), Pages 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

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.

UDC: 550.385

Received: 12.06.2016

DOI: 10.18454/2079-6641-2016-14-3-34-39



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