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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    Title :

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



    Published in:

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


    Publication date :

    2014-07-04


    Size :

    4 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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