• DocumentCode
    3419311
  • Title

    The research on sales forecasting based on rapid BP neural network

  • Author

    Jiang, Xue-Feng

  • Author_Institution
    Sch. of Comput. Eng., Shenzhen Polytech., Shenzhen, China
  • fYear
    2012
  • fDate
    24-26 Aug. 2012
  • Firstpage
    1239
  • Lastpage
    1241
  • Abstract
    The BP neural network and the conjugate gradient algorithm to improve BP neural network algorithm were discussed in this paper. And the simulation results of two kinds of sales forecasting were given. The results indicated that the BP neural network training time was longer and the forecasting precision was lower, but the improved BP neural network algorithm with Conjugate gradient algorithm shorten the training time, and it enhances the forecasting precision. The calculation results showed that the approaches of the improved BP neural network with conjugate gradient algorithm was feasible and could be used for sales forecasting.
  • Keywords
    backpropagation; conjugate gradient methods; economic forecasting; neural nets; sales management; BP neural network training time; conjugate gradient algorithm; forecasting precision; rapid BP neural network; sales forecasting; BP neural network; conjugate gradient algorithm; sales forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Processing (CSIP), 2012 International Conference on
  • Conference_Location
    Xi´an, Shaanxi
  • Print_ISBN
    978-1-4673-1410-7
  • Type

    conf

  • DOI
    10.1109/CSIP.2012.6309083
  • Filename
    6309083