three-dimensional model of the dayside magnetopause based on artificial neural networks
TRANSCRIPT
Geomagnetism and Aeronomy, 1999
Three-Dimensional Model of the Dayside Magnetopause Developed Using
the Artificial Neural Network
DMITRIEV A.V., YU.V. ORLOV, I.G. PERSIANTSEV, and A.V. SUVOROVA
Abstract A three-dimensional model of the dayside magnetopause is developed on the basis of the artificial neural network (ANN). The ANN algorithm enables us to obtain a more elaborated pattern of the solar wind interaction with the Earth’s magnetosphere. The ANNs are used to define the relative effects of both the individual parameters of the solar wind and interplanetary magnetic field and all their possible combinations. The dependence of the three-dimensional shape of the dayside magnetopause and its sizes on the dynamic pressure of the solar wind, as well as on the Z and Y components of the interplanetary magnetic field, has been established. Citation: Dmitriev A.V., Yu.V. Orlov, I.G. Persiantsev, and A.V. Suvorova, Three-Dimensional Model of the Dayside Magnetopause Developed Using the Artificial Neural Network, Geomagnetism and Aeronomy, 1999, 3995), 544-551 (Translated from Geomagnetizm i Aeronomiya) Original article: Дмитриев А.В., Ю.В. Орлов, И.Г. Персианцев, А.В.Суворова, Трёхмерная модель дневной магнитопаузы на основе искусственных нейронных сетей, Геомагнетизм и Аэрономия, 1999, 39(5), 8-15.
