Prediction of geomagnetic indexes with the help of artificial neural networks

被引：9

作者：

Myagkova, Irina ^{[1
]}

Shiroky, Vladimir ^{[1
]}

Dolenko, Sergey ^{[1
]}

机构：

[1] Moscow MV Lomonosov State Univ, DV Skobeltsyn Inst Nucl Phys, Moscow 119991, Russia

来源：

VIII INTERNATIONAL CONFERENCE SOLAR-TERRESTRIAL RELATIONS AND PHYSICS OF EARTHQUAKE PRECURSORS | 2017年 / 20卷

基金：

俄罗斯科学基金会;

关键词：

MAGNETOSPHERE;

D O I：

10.1051/e3sconf/20172002011

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

The results of prediction of geomagnetic indexes characterizing the state of the Earth's magnetosphere obtained with the help of artificial neural networks (ANN) for various prediction horizons are presented. The forecasts are based on multivariate time series including the values of the geomagnetic indices themselves, as well as data about the parameters of solar wind and interplanetary magnetic field, during several latest hours.

引用

页数：7

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