• DocumentCode
    1067315
  • Title

    Distributed coding for data representation of back-propagation neural network classifiers

  • Author

    Chong, C.C. ; Jia, J.C.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst.
  • Volume
    31
  • Issue
    21
  • fYear
    1995
  • fDate
    10/12/1995 12:00:00 AM
  • Firstpage
    1852
  • Lastpage
    1854
  • Abstract
    A new distributed input coding is derived by distributing the feature variables over a number of input nodes based on the distribution of the training data. Using this coding method representation. The range of each input node will be fully optimised: this enables the network to converge at a higher rate during training. The coding method also enables the network to maintain the generalisation capability of conventional normalisation coding
  • Keywords
    backpropagation; encoding; feature extraction; neural nets; pattern classification; back-propagation neural network classifiers; coding method representation; data representation; distributed coding; feature variables; generalisation capability; input nodes; training;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • Filename
    475036
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1067315