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Forecasting of Vehicle Capacity Based on BP Neural Network

In: The 19th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Ya-qin An

    (Academy of Military Transportation)

  • Ya-jun Wang

    (Academy of Military Transportation)

  • Wen-wei Gao

    (Academy of Military Transportation)

Abstract

According to the theory of neural network, a forecasting model of BP neural network is set up on the basis of studying the influencing factors of vehicle population. The forecasting accuracy is improved greatly compared with the gray forecasting model. It is valuable to enact reasonably the resource management policies and establish expropriation counterplan for freight capacity.

Suggested Citation

  • Ya-qin An & Ya-jun Wang & Wen-wei Gao, 2013. "Forecasting of Vehicle Capacity Based on BP Neural Network," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), The 19th International Conference on Industrial Engineering and Engineering Management, edition 127, chapter 0, pages 369-375, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-38391-5_38
    DOI: 10.1007/978-3-642-38391-5_38
    as

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