Abstract Based on the Kohonen algorithm, a self-training neural network is constructed which allows one to classify geomagnetic disturbances using the data on parameters of the solar wind and interplanetary magnetic field. Such an approach permits one to consider the suggested classification simultaneously as space and physical, since the space origin of disturbances of different kinds is considered within the framework of the classification. As a result of numerical experiments, we have succeeded in isolating basic classes of complexes of disturbed parameters accounting for various events of the space weather, each of which is responsible for corresponding global magnetospheric conditions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Complex classification of global geomagnetic disturbances


    Contributors:

    Published in:

    Cosmic Research ; 44 , 6 ; 468-478


    Publication date :

    2006-12-01


    Size :

    11 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Complex classification of global geomagnetic disturbances

    Barkhatov, N. A. / Levitin, A. E. / Revunov, S. E. | Online Contents | 2006


    Geomagnetic Disturbances

    M. Sugiura | NTIS | 1965



    Geomagnetic disturbances and technological systems

    Lanzerotti, L.J. | Tema Archive | 1979