• DocumentCode
    525412
  • Title

    Listed logistics company performance prediction by BP neural network

  • Author

    Shi, Cheng-dong ; Bian, Dun-xin

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
  • Volume
    2
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Abstract
    In order to forecast the performance of listed logistics company scientifically, and by using of adventage of BP neural network with self-organizing, self-learning, anti-interference, etc., a performance prediction model of listed logistics company was constructed with BP neural network. Then the step of the model was introduced in detail and BP algorithm was designed. Moreover, an example was studied with twenty-three listed logistics company´s data in 2007. The examples show that the prediction results are basically consistent with the actual situation, and the comprehensive evaluation of the weight basically reflects the effect on performance of listed logistics company.
  • Keywords
    backpropagation; logistics; neural nets; BP algorithm; BP neural network; listed logistics company performance prediction; performance prediction model; Companies; Costs; Design engineering; Economic forecasting; Feedforward neural networks; Industrial economics; Logistics; Multi-layer neural network; Neural networks; Predictive models; BP algorithm; BP neural network; listed logistics company; performance prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Design and Applications (ICCDA), 2010 International Conference on
  • Conference_Location
    Qinhuangdao
  • Print_ISBN
    978-1-4244-7164-5
  • Electronic_ISBN
    978-1-4244-7164-5
  • Type

    conf

  • DOI
    10.1109/ICCDA.2010.5541365
  • Filename
    5541365