• DocumentCode
    3047007
  • Title

    Research on serial grey neural network mode

  • Author

    Zhenhui, Min

  • Author_Institution
    Coll. of Mech. Eng., Heilongjiang Inst. of Sci. & Technol., Harbin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    18-20 May 2012
  • Firstpage
    980
  • Lastpage
    983
  • Abstract
    In view of the traditional grey model adaptive and self learning ability is poor, long-term prediction accuracy is not the ideal situation, on the basis of three precise grey models, BP neural network is introduced, construct the serial grey neural network model, the result of the simulation shows that, the grey neural network model prediction error and relative error does not appear increased gradually, the prediction accuracy is significantly better than the grey model and it is suitable for application.
  • Keywords
    adaptive systems; backpropagation; grey systems; neural nets; unsupervised learning; BP neural network; grey model adaptive ability; long-term prediction accuracy; prediction error; relative error; self learning ability; serial grey neural network mode; Adaptation models; Biological neural networks; Data models; Predictive models; Training; Vectors; grey neural network; grey prediction; model precision; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (MIC), 2012 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-1601-0
  • Type

    conf

  • DOI
    10.1109/MIC.2012.6273440
  • Filename
    6273440