• DocumentCode
    2618763
  • Title

    An accelerated back propagation training algorithm

  • Author

    Kothari, Ravi ; Klinkhachorn, Powsiri ; Nutter, Roy S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., West Virginia Univ., Morgantown, WV, USA
  • fYear
    1991
  • fDate
    18-21 Nov 1991
  • Firstpage
    165
  • Abstract
    The concept of backpropagation training with a gradual increase in accuracy is presented. The concept may be incorporated with the basic backpropagation algorithm or with the backpropagation algorithm with a momentum weight change to result in significant speed improvements without increasing the size of the network or requiring additional support hardware. Experimental results show that the proposed modification, on the average, doubles the convergence rate of the backpropagation algorithm and the backpropagation algorithm with a momentum weight change
  • Keywords
    convergence; learning systems; neural nets; accelerated back propagation training algorithm; convergence rate; learning systems; momentum weight change; neural nets; Acceleration; Convergence; Dynamic range; Multi-layer neural network; Neural network hardware; Neural networks; Neurons; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991. 1991 IEEE International Joint Conference on
  • Print_ISBN
    0-7803-0227-3
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.170398
  • Filename
    170398