• DocumentCode
    2444094
  • Title

    A modular Boolean architecture for pattern recognition

  • Author

    de Carvalho, A. ; Fairhurst, M.C. ; Bisset, D.L.

  • Author_Institution
    Electron. Eng. Labs., Kent Univ., Canterbury, UK
  • Volume
    7
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    4349
  • Abstract
    This paper describes a modular neural structure where a self-organising Boolean neural network architecture (SOFT) is used as a front-end processor to a feedforward neural architecture based on goal-seeking principles (GSNf). The characteristics of this architecture are illustrated by considering its application to a character recognition problem
  • Keywords
    character recognition; feature extraction; feedforward neural nets; neural net architecture; parallel architectures; self-organising feature maps; character recognition; feedforward neural architecture; goal-seeking principles; modular Boolean architecture; pattern recognition; self organising feature extractor; self-organising Boolean neural network; Electronic mail; Feature extraction; Hardware; Laboratories; Neural networks; Neurons; Pattern recognition; Pixel; Random access memory; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374967
  • Filename
    374967
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2444094