Neural Network Classification of Discontinuities in Space Plasma Parameters

被引：3
|
作者：
Barkhatov, N. A. [1 ]
Revunov, S. E. [1 ]
机构：
[1] Nizhny Novgorod State Pedag Univ, Nizhnii Novgorod 603950, Russia
来源：
GEOMAGNETISM AND AERONOMY | 2010年 / 50卷 / 07期
基金：
俄罗斯基础研究基金会;
关键词：
ORIENTATION; MOTION;
D O I：
10.1134/S001679321007011X
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 artificial neural network technique is applied to dividing discontinuities in space plasma and magnetic field parameters into classes corresponding to known types of magnetohydrodynamic discontinuities. Parameter discontinuities registered on the WIND spacecraft between 1996 and 1999 are classified using a network of the Kohonen Layer type. An algorithm for determining the orientation of discontinuity surfaces on the basis of one-dimensional observations of solar wind parameter discontinuities on board spacecraft is proposed.
引用
收藏
页码：894 / 904
页数：11
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