• DocumentCode
    3404513
  • Title

    The Combination of Grey System and BP Neural Network

  • Author

    Shuhai, Fan ; Yexiang, Fang ; Wenping, Li ; Yungao, Ma ; Tianyuan, Xiao

  • Author_Institution
    Nanjing Univ. of Technol., Nanjing
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    1267
  • Lastpage
    1271
  • Abstract
    Many problems existed in the current grey system model-building, such as the rough exponential model, unsatisfied precision and the poor parallel computation ability. So it was very important to expand the current grey theory and find out an appropriate model building method. There were several ways to combine grey system with neural network, such as "Simple Combination", "Serial Combination", "Strengthening Grey System with Neural Network", "Building Neural Network with the Aid of Grey System" and "Grey Neural Network". For the grey neural network, three model building methods (crosswise method, lengthwise method and hybrid method) were given out. Finally, an example of a typical grey BP neural network was given where the crosswise method was used and successfully applied to mass customization manufacturing quality control.
  • Keywords
    backpropagation; grey systems; neural nets; BP neural network; crosswise method; grey system; hybrid method; lengthwise method; mass customization manufacturing; model building; quality control; rough exponential model; serial combination; simple combination; Automation; Computer industry; Concurrent computing; Mechatronics; Neural networks; Prediction methods; Predictive models; Quality control; Temperature; Uncertainty; grey system; neural network; quality control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2007. ICMA 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0828-3
  • Electronic_ISBN
    978-1-4244-0828-3
  • Type

    conf

  • DOI
    10.1109/ICMA.2007.4303731
  • Filename
    4303731