• DocumentCode
    1816992
  • Title

    Comparative performance measures of fuzzy ARTMAP, learned vector quantization, and back propagation for handwritten character recognition

  • Author

    Carpenter, Gail ; Grossberg, Stephen ; Iizuka, Kunihiko

  • Author_Institution
    Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA
  • Volume
    1
  • fYear
    1992
  • fDate
    7-11 Jun 1992
  • Firstpage
    794
  • Abstract
    The authors compare the performance of fuzzy ARTMAP with that of learned vector quantization and backpropagation on a handwritten character recognition task. Training with fuzzy ARTMAP to a fixed criterion used many fewer epochs. Voting with fuzzy ARTMAP yielded the highest recognition rates
  • Keywords
    backpropagation; character recognition; fuzzy logic; learning (artificial intelligence); vector quantisation; back propagation; fuzzy ARTMAP; handwritten character recognition; learned vector quantization; training; Adaptive systems; Character recognition; Fuzzy neural networks; Fuzzy systems; Multidimensional systems; Neural networks; Subspace constraints; Supervised learning; Vector quantization; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1992. IJCNN., International Joint Conference on
  • Conference_Location
    Baltimore, MD
  • Print_ISBN
    0-7803-0559-0
  • Type

    conf

  • DOI
    10.1109/IJCNN.1992.287090
  • Filename
    287090
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1816992