• DocumentCode
    2714742
  • Title

    Multi-layer radial basis function networks. An extension to the radial basis function

  • Author

    Craddock, R.J. ; Warwick, K.

  • Author_Institution
    Dept. of Cybern., Reading Univ., UK
  • Volume
    2
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    700
  • Abstract
    This paper presents the initial research carried out into a new neural network called the multilayer radial basis function network (MRBF). The network extends the radial basis function (RBF) in a similar way to that in which the multilayer perceptron extends the perceptron. It is hoped that by connecting RBFs together in a layered fashion, an equivalent increase in ability can be gained, as is gained from using MLPs instead of single perceptrons. The results of a practical comparison between individual RBFs and MRBF´s are also given
  • Keywords
    feedforward neural nets; multilayer perceptrons; multilayer radial basis function network; Cost function; Cybernetics; Euclidean distance; Joining processes; Multi-layer neural network; Multilayer perceptrons; Neural networks; Nonlinear equations; Radial basis function networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.548981
  • Filename
    548981