• DocumentCode
    3442407
  • Title

    The back propagation method for CNN

  • Author

    Mizutani, Hikaru

  • Author_Institution
    Dept. of Electr. Eng., Shonan Inst. of Technol., Fujisawa, Japan
  • Volume
    6
  • fYear
    1994
  • fDate
    30 May-2 Jun 1994
  • Firstpage
    463
  • Abstract
    In this paper, a new back propagation method is presented. The method does not require a sigmoid function but a simple piecewise-linear function for the neurons. Because a cellular neural network (CNN) is able to use this kind of simple nonlinear function, the presented method may be applied to CNNs. Also the presented method can be applied not only to CNNs but also to any multilayer type neural network. The simple piecewise-linear function has the advantage that computing the function or fabricating systems using the function is easier than that using the sigmoid function
  • Keywords
    backpropagation; cellular neural nets; piecewise-linear techniques; CNN; backpropagation method; cellular neural network; multilayer type neural network; neurons; piecewise-linear function; Backpropagation algorithms; Cellular neural networks; Computer networks; Feeds; Gold; Hopfield neural networks; Multi-layer neural network; Neural networks; Neurons;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1994. ISCAS '94., 1994 IEEE International Symposium on
  • Conference_Location
    London
  • Print_ISBN
    0-7803-1915-X
  • Type

    conf

  • DOI
    10.1109/ISCAS.1994.409626
  • Filename
    409626