• DocumentCode
    2965599
  • Title

    Rural Logistics Demand Forecasting Based on the BP Neural Network Method

  • Author

    Zhang Yun ; Shang Lingyun

  • Author_Institution
    Manage. Dept., Chong Qing Jiao Tong Univ., Chongqing, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Rural logistics development is relatively weak. Based on the logistics demand forecasting problems which appear in the rural logistics development, this paper puts forward the method of BP neural network to apply to analyze the countryside logistics demand forecasting, and then takes the countryside in Chongqing as an example.
  • Keywords
    backpropagation; demand forecasting; logistics; BP neural network; demand forecasting method; rural logistics development; Aggregates; Demand forecasting; Logistics; Mathematical model; Predictive models; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5998305
  • Filename
    5998305
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2965599