• DocumentCode
    2614342
  • Title

    Analysis of the misadjustment of BP network and an improved algorithm

  • Author

    Jia, Yang ; Dali, Yang

  • Author_Institution
    Beijing Univ. of Posts & Telecommun., China
  • fYear
    1993
  • fDate
    3-6 May 1993
  • Firstpage
    2592
  • Abstract
    The authors analyze the misadjustment of the conventional backpropagation (BP) network introduced by the momentum factor α and its disadvantageous effect on the network, and propose an improved algorithm with stochastic attenuation momentum factor α(k). Analysis and simulations show that the momentum misadjustment is a nonnegligible factor affecting the convergence precision of the BP network. Compared with the conventional BP algorithm, the improved algorithm can effectively cancel the negative effect of α on a network and improve the convergence performance of the network
  • Keywords
    backpropagation; convergence; neural nets; stochastic processes; BP network; backpropagation; convergence performance; convergence precision; misadjustment; momentum factor; stochastic attenuation; Adaptive algorithm; Algorithm design and analysis; Convergence; Error correction; Feedforward neural networks; Least squares approximation; Multi-layer neural network; Neural networks; Performance analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-1281-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1993.394296
  • Filename
    394296