Artificial neural network model of the dayside magnetopause: Physical consequences

A. V. Dmitriev, A. V. Suvorova

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)


Empirical model of the dayside magnetopause developed by means of Artificial Neural Network (ANN) package 'NeuroShell 2' is discussed. ANN model describes 3D shape of the magnetopause as a function of four external parameters: solar wind velocity, density, B(y) and B(z) components of interplanetary magnetic field. The model shows that the magnetopause shape has the dawn-dusk asymmetry under any solar wind conditions independently on the B(y) direction. The cusp region is modeled. Using ANN model an expression for subsolar point distance is obtained in terms of modified logistic functions. The magnetopause dynamics is interpreted as a transition between two regimes of the magnetopause formation that is controlled by B(z) component of interplanetary magnetic field.

頁(從 - 到)169-172
期刊Physics and Chemistry of the Earth, Part C: Solar, Terrestrial and Planetary Science
出版狀態已出版 - 2000


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