• DocumentCode
    2374895
  • Title

    Application of BP neural network to sale forecast for H company

  • Author

    Zheng Li ; Renwang Li ; Zhaohui Shang ; Haiyan Wang ; Xiulan Chen ; Canlin Mo

  • Author_Institution
    Fac. of Mech. Eng. & Autom., Zhejiang Sci-Tech Univ., Hangzhou, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    304
  • Lastpage
    307
  • Abstract
    The aim of the work presented in this article is to make sales forecasting as accurate as possible through the use of BP artificial neural network. Firstly, this article introduces the basic principles of BP artificial neural network, and constructs a sales forecasting model based on the theory of BP artificial neural network. Then, with the help of MATLAB, we obtained the predicted sales data using this model, and compared it with the actual sales data, the results showed a highly degree of consistency. BP neural network is a precise program can get satisfactory results in sales forecasting.
  • Keywords
    backpropagation; fork lift trucks; machinery production industries; neural nets; sales management; BP artificial neural network; H company; MATLAB; sales forecasting model; Accuracy; Artificial neural networks; Companies; Manufacturing; BP artificial neural network; Manufacturing; Sales forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4673-1211-0
  • Type

    conf

  • DOI
    10.1109/CSCWD.2012.6221835
  • Filename
    6221835