• DocumentCode
    2159713
  • Title

    Study of prediction algorithm based on grey neural network GMNN

  • Author

    Song, Qiang ; Miao, Xiao-peng

  • Author_Institution
    Mechanical engineering department of Anyang institute of technology, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    1537
  • Lastpage
    1540
  • Abstract
    In this paper, Grey model (GM) and artificial neural network (ANN) was employed to predict the alkalinity in sintering process. The fluctuation of data sequence is weakened by the grey theory and the neural network is capable of processing non-linear adaptable information, and the GMNN is a combination of those advantages. The result showed that prediction model has good precision and better generalization ability.
  • Keywords
    Accuracy; Adaptation model; Artificial neural networks; Forecasting; Mathematical model; Object oriented modeling; Predictive models; grey neural network; grey system; prediction accuracy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691698
  • Filename
    5691698
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2159713