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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Three-dimensional artificial neural network model of the dayside magnetopause
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Three-dimensional artificial neural network model of the dayside magnetopause

机译：日间绝经的三维人工神经网络模型

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Artificial neural networks (ANN) from the package NeuroShell 2 are applied to the modeling of the dayside magnetopause. The model data set is based on magnetopause crossings and on the corresponding hour-averaged measurements of the solar wind plasma and the interplanetary magnetic field. The ANN model represents the three-dimensional shape and size of the dayside magnetopause as a function of the solar wind dynamic pressure and the B-z, and B-y. components of the interplanetary magnetic field. The model describes the dynamics of the magnetic cusp and global asymmetry of the dayside magnetopause under a wide range of external conditions. Small variations in the size of the magnetopause as a function of the absolute value of B-y are presented quantitatively in the form of an analytic expression. The ANN model shows three regimes of magnetopause dynamics that are controlled by the B-z, component: a pressure balance regime (B-2>0 nT), a reconnection regime (0>B-z>-10 nT), and a regime of reconnection saturation (B-z<-10 nT). Also, three different regimes of magnetopause dynamics at the subsolar point are described by a modified pressure balance equation obtained from the ANN model. [References: 46]
机译：软件包NeuroShell 2中的人工神经网络（ANN）被应用于日间绝经的建模。该模型数据集基于磁层顶交叉以及太阳风等离子体和行星际磁场的小时平均测量值。 ANN模型代表日间磁更年期的三维形状和大小，它是太阳风动压力以及B-z和B-y的函数。行星际磁场的分量。该模型描述了在各种外部条件下，磁尖的动力学和日间磁更年期的整体不对称性。磁致绝经的大小的微小变化作为B-y绝对值的函数，以解析表达式的形式定量呈现。 ANN模型显示了由Bz控制的三种绝经动力学机制：压力平衡机制（B-2> 0 nT），重新连接机制（0> Bz> -10 nT）和重新连接饱和机制（Bz <-10 nT）。而且，通过从ANN模型获得的修改后的压力平衡方程式，描述了在日太阳能点下三种不同的绝经动力学。 [参考：46]

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