## 摘要

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_{z}>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.

原文 | ???core.languages.en_GB??? |
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文章編號 | 2000JA900008 |

頁（從 - 到） | 18909-18918 |

頁數 | 10 |

期刊 | Journal of Geophysical Research: Space Physics |

卷 | 105 |

發行號 | A8 |

DOIs | |

出版狀態 | 已出版 - 1 8月 2000 |