• DocumentCode
    397860
  • Title

    A formulation of knowledge restructuring type TAM network

  • Author

    Hayashi, Lsao ; Williamson, James R.

  • Author_Institution
    Graduate Sch. of Corp. Inf., Hannan Univ., Matsubara, Japan
  • Volume
    3
  • fYear
    2003
  • fDate
    5-8 Oct. 2003
  • Firstpage
    2839
  • Abstract
    The TAM (Topographic Attentive Mapping) network is a biologically-motivated neural network. In the TAM network algorithm, knowledge is acquired from the TAM network structure through a pruning method, and the acquired knowledge is stored in an independent module. In this paper, three measures of similarity used to compare these independent knowledge storage modules will be discussed.
  • Keywords
    fuzzy set theory; knowledge based systems; knowledge representation; neural nets; TAM network algorithm; biological neural network; fuzzy set theory; knowledge representation; knowledge restructuring; knowledge storage modules; pruning method; topographic attentive mapping; Artificial intelligence; Concrete; Data mining; Glass; Information entropy; Output feedback; Retina;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2003. IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7952-7
  • Type

    conf

  • DOI
    10.1109/ICSMC.2003.1244316
  • Filename
    1244316