This paper mainly introduces the SVR method in the application of the railway freight volume forecasting. The paper analyzed the railway freight volume of eight major social and economic factors. Then, the paper selected learning samples and test method validation samples, through the normalized processing. It is concluded that the SVR to the effectiveness of the railway freight volume forecasting.


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    Titel :

    Railway Freight Volume Prediction Based on Support Vector Regression (SVR)



    Erschienen in:

    Applied Mechanics and Materials ; 587-589 ; 1954-1957


    Erscheinungsdatum :

    04.07.2014


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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