• DocumentCode
    299246
  • Title

    A self-organized network with a supervised training

  • Author

    Miyanaga, Yoshikazu ; Jin, Hong Lan ; Islam, Rafiqul ; Tochinai, Koji

  • Author_Institution
    Dept. of Electron. Eng., Hokkaido Univ., Sapporo, Japan
  • Volume
    1
  • fYear
    1995
  • fDate
    30 Apr-3 May 1995
  • Firstpage
    482
  • Abstract
    This paper introduces a self-organized network with a supervisor for data clustering and recognition. The network consists of a self-organized module and a supervised module. The self-organized module has been mainly controlled by the information of input data. However, the proposed module is also trained by supervised learning. The supervised learning is applied to the supervised module first and then it is also applied to the self-organized module in order to realize higher generality and higher accuracy than conventional neural networks
  • Keywords
    learning (artificial intelligence); neural nets; pattern recognition; data clustering; neural networks; recognition; self-organized network; supervised training; Control engineering education; Convergence; Costs; Counting circuits; Electronic mail; Multi-layer neural network; Multilayer perceptrons; Neural networks; Stochastic processes; Supervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2570-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.1995.521555
  • Filename
    521555