Geodesic
A neural network system for estimation of the geomagnetic field disturbance
Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2016), pp. 34-39

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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. 
@article{VKAM_2016_3_a4,
     author = {O. V. Mandrikova and E. A. Zhizhikina},
     title = {A neural network system for estimation of the geomagnetic field disturbance},
     journal = {Vestnik KRAUNC. Fiziko-matemati\v{c}eskie nauki},
     pages = {34--39},
     publisher = {mathdoc},
     number = {3},
     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VKAM_2016_3_a4/}
}
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O. V. Mandrikova; E. A. Zhizhikina. A neural network system for estimation of the geomagnetic field disturbance. Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2016), pp. 34-39. http://geodesic.mathdoc.fr/item/VKAM_2016_3_a4/