Neural Network Classification of the Cause–Effect Relationship between Substorm Activity and Structural Elements of Solar Wind Magnetic Clouds

被引：0
|
作者：
Barkhatov N.A. [1 ]
Vorobjev V.G. [2 ]
Revunov S.E. [1 ]
Barkhatova O.M. [3 ]
Revunova E.A. [3 ]
Yagodkina O.I. [2 ]
机构：
[1] Minin State Pedagogical University, Nizhny Novgorod
[2] Polar Geophysical Institute, Apatity
[3] Nizhny Novgorod State University of Architecture and Civil Engineering, Nizhny Novgorod
来源：
Bulletin of the Russian Academy of Sciences: Physics | 2022年 / 86卷 / 03期
关键词：
D O I：
10.3103/S1062873822030054
中图分类号：
学科分类号：
摘要：
Abstract: Images are created of the causal relationship between substorm activity and the characteristics of such large-scale solar fluxes as magnetic clouds interacting with the Earth’s magnetosphere. An artificial neural network of the Kohonen layer type is used to classify these images. The results from classification identify selected classes of substorms with perturbations in parameters of the solar wind and interplanetary magnetic field that are typical of structural elements of magnetic clouds. © 2022, Allerton Press, Inc.
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页码：256 / 261
页数：5
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