Changes in the demand for bulk cargo will have a significant impact on the industrial structure and transportation development planning, and trains and cargo ships are the main means of bulk cargo transportation. Accurately predicting the volume of bulk cargo transportation can be used to support transportation system management, such as operation planning and route selection design. This study uses the Elman model to conduct empirical analysis, predict the changing trend of bulk cargo transportation, and provide data reference for the formulation of transportation development plans.


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    Title :

    Nonlinear forecasting of Freight Volume based on Elman Network Model


    Contributors:
    Meng Zhen (author) / Zhou Huiyu (author)


    Publication date :

    2021




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




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