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The use of artificial neural network segmentation of multivariate time series for the analysis of geomagnetic disturbances

S.A. Dolenko, I.N. Myagkova, I.G. Persiantsev

Moscow University Physics Bulletin 2016. 71. N 4. P. 454

  • Article
Annotation

This study is devoted to a preliminary analysis of the segmentation of multivariate time series of the parameters of the solar wind, interplanetary magnetic field, and the Dst index using artificial neural networks, for the period from November 1997 to March 2014. It is shown that this technique allows progress in understanding the dynamics of the Earth’s magnetosphere.

Received: 2015 November 13
Approved: 2016 October 12
PACS:
90.00.00 GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS
94.00.00 Physics of the ionosphere and magnetosphere
Authors
S.A. Dolenko, I.N. Myagkova, I.G. Persiantsev
Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, Moscow 119991, Russia
Issue 4, 2016

Moscow University Physics Bulletin

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