Geodesic
A neural network system for estimation of the geomagnetic field disturbance
Vestnik KRAUNC. Fiziko-matematičeskie nauki, no. 3 (2016), pp. 34-39 Cet article a éte moissonné depuis la source Math-Net.Ru

Voir la notice de l'article

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},
     year = {2016},
     number = {3},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VKAM_2016_3_a4/}
}
TY  - JOUR
AU  - O. V. Mandrikova
AU  - E. A. Zhizhikina
TI  - A neural network system for estimation of the geomagnetic field disturbance
JO  - Vestnik KRAUNC. Fiziko-matematičeskie nauki
PY  - 2016
SP  - 34
EP  - 39
IS  - 3
UR  - http://geodesic.mathdoc.fr/item/VKAM_2016_3_a4/
LA  - ru
ID  - VKAM_2016_3_a4
ER  - 
%0 Journal Article
%A O. V. Mandrikova
%A E. A. Zhizhikina
%T A neural network system for estimation of the geomagnetic field disturbance
%J Vestnik KRAUNC. Fiziko-matematičeskie nauki
%D 2016
%P 34-39
%N 3
%U http://geodesic.mathdoc.fr/item/VKAM_2016_3_a4/
%G ru
%F VKAM_2016_3_a4
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/

[1] Zaourar N., Hamoudi M., Mandea M., Balasis G., Holschneider M., “Wavelet-based multiscale analysis of geomagnetic disturbance”, Earth Planets Space, 65 (2013), 1525-1540 | DOI

[2] Mandrikova O. V., Solovyev I. S., Geppener V. V., Klionskiy D. M., Al-Kasabeh R. T., “Analysis of the Earth’s magnetic field variations on the basis of a wavelet-based approach”, Digital Signal Processing, 23. (2013), 329-339 | DOI | MR

[3] Budko N. I., Zaitsev A. N., Karpachev A. T., Kozlov A. N., Filippov B. P. – pod red. A. N. Zaitseva, Kosmicheskaya sreda vokrug nas, TROVANT, Troitsk, 2006, 232 pp.

[4] Petrukovicha A. A., Solnechno-zemnye svyazi i kosmicheskaya pogoda. Plazmennaya geliogeofizika, Nauka, M., 2008, 232 pp.

[5] Kato H., Takiguchi Y., Fukayama D., Shimizu Y., Maruyama T., Ishii M., “Development of automatic scaling software of ionospheric parameters”, Journal of the National Institute of Information and Communications Technology, 2009, no. 56, 465-474

[6] Hamoudi M., Zaourar N., Mebarki R., Briqueu L., Parrot M., “Wavelet analysis of ionospheric disturbances”, Geophysical Research Abstracts. EGU General Assembly, 11 (2009), EGU2009-8523

[7] Savchenko A. V., “Raspoznavanie izobrazhenii na osnove veroyatnostnoi neironnoi seti s proverkoi odnorodnosti”, Kompyuternaya optika, 37:2 (2013), 254-262 | MR

[8] Soldatova O. P., Garshin A. A., “Primenenie svërtochnoi neironnoi seti dlya raspoznavaniya rukopisnykh tsifr”, Kompyuternaya optika, 34:2 (2010), 252-259

[9] Mandrikova O. V., Solovev I. S, Zalyaev T. L., “Methods of analysis of geomagnetic field variations and cosmic ray data”, Earth Planet Space, 66:1 (2014) | DOI

[10] Barkhatova O. M., “Nelineinaya svyaz avroralnykh (AU,AL) i sredneshirotnykh (SYM-H, ASY-H) indeksov geomagnitnoi aktivnosti na glavnoi faze geomagnitnoi buri”, Solnechno-zemnaya fizika, 2013, no. 23, 100-108

[11] Uwamahoro J., McKinnell L. A., Habarulema J. B., “Estimating the geoeffectiveness of halo CMEsfrom associated solar and IP parameters using neural networks”, Annales Geophysicae, 30:23 (2012), 963-972 | DOI

[12] Zabolotnaya N. A, Indeksy geomagnitnoi aktivnosti, Spravochnoe posobie, Izd-vo LKI, M., 2007, 88 pp.

[13] Chui Ch., Vvedenie v veivlety, Mir, M., 2001, 412 pp.

[14] Mandrikova O. V., Zhizhikina E. A., “Avtomaticheskii sposob otsenki sostoyaniya geomagnitnogo polya”, Kompyuternaya optika, 39:3 (2015), 420-428

[15] Khaikin S., Neironnye seti: polnyi kurs, Izdatelskii dom «Vilyams», M., 2006, 1104 pp.

[16] Obzor kosmicheskoi pogody ((data obrascheniya 09.05.2016)) http://ipg.geospace.ru/space-weather-review