• DocumentCode
    2133863
  • Title

    Convergence of batch gradient method with penalty and momentum for GNNM(1,1)

  • Author

    Zhengxue Li ; Yaowei Sun ; Mingsong Cheng ; Mingchen Yao

  • Author_Institution
    Sch. of Math. Sci., Dalian Univ. of Technol., Dalian, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    8
  • Lastpage
    12
  • Abstract
    In this paper the penalty term and momentum term are used in batch gradient method which improve the learning method for one-dimensional gray neural network model (GNNM(1,1)). Moreover, the convergence of the modified batch gradient method for GNNM(1,1) is proved.
  • Keywords
    convergence; gradient methods; grey systems; learning (artificial intelligence); neural nets; batch gradient method convergence; learning method; momentum term; one-dimensional gray neural network model; penalty term; Accuracy; Convergence; Educational institutions; Gradient methods; Neural networks; Presses; Training; batch gradient method; convergence; momentum term; one-dimensional gray neural network; penalty term;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2013 Ninth International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/ICNC.2013.6817934
  • Filename
    6817934
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2133863