• DocumentCode
    3252746
  • Title

    The PSO-BP-based forecast of logistics cost for coal enterprises

  • Author

    Shi, Yong-kui ; Shao, Jian-sheng

  • Author_Institution
    Resources & Environ. Eng. Inst., Shandong Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    471
  • Lastpage
    474
  • Abstract
    The forecast of logistics cost is the prerequisite and foundation for logistics cost management in coal enterprises. This paper has analyzed the logistics cost in coal enterprises and its influencing factors, using PSO-BP and BP network respectively to forecast the logistics cost in coal enterprises. As a result, it comes to a conclusion that the convergence speed and the predicted accuracy of PSO-BP network are obviously better than that of BP network.
  • Keywords
    backpropagation; coal; logistics; particle swarm optimisation; PSO-BP network; PSO-BP-based forecast; coal enterprise; logistics cost management; Logistics; Forecast; Logistics Cost; Neural network; PSO-BP network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6483-8
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2010.5646572
  • Filename
    5646572