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JOURNALS // Vestnik KRAUNC. Fiziko-Matematicheskie Nauki

Vestnik KRAUNC. Fiz.-Mat. Nauki, 2016, Number 3(14), Pages 34–39 (Mi vkam142)

A neural network system for estimation of the geomagnetic field disturbance
O. V. Mandrikova, E. A. Zhizhikina

References

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  crossref  elib  scopus
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  crossref  mathscinet  elib  scopus
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  mathscinet  elib
8. Soldatova O. P., Garshin A. A., “Primenenie svërtochnoi neironnoi seti dlya raspoznavaniya rukopisnykh tsifr”, Kompyuternaya optika, 34:2 (2010), 252-259  elib
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)  crossref
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  elib
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  crossref  elib  scopus
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  elib
15. Khaikin S., Neironnye seti: polnyi kurs, Izdatelskii dom «Vilyams», M., 2006, 1104 pp.
16. Obzor kosmicheskoi pogody http://ipg.geospace.ru/space-weather-review ((data obrascheniya 09.05.2016))


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