• DocumentCode
    288508
  • Title

    Attention to feature region in neural network

  • Author

    Sano, Hideki ; Iwahori, Yuji ; Ishii, Naohiro

  • Author_Institution
    Nagoya Inst. of Technol., Japan
  • Volume
    3
  • fYear
    1994
  • fDate
    27 Jun-2 Jul 1994
  • Firstpage
    1537
  • Abstract
    This paper presents a construction method of the neural network, which pays attention to the feature region. The efficient feature region is obtained in the neural network by an iterative process. First, the feature region in the neural network for the input patterns is computed by using a function called degree of dependence. Second, an attention to the feature region is computed by a modified Kohonen map algorithm, which is applied to the feature region obtained in the first step. By executing the above two step procedures iteratively one can get an efficient neural network, which pays attention to the characteristic region to classify input patterns
  • Keywords
    feature extraction; iterative methods; pattern classification; self-organising feature maps; degree of dependence; feature region; iterative process; modified Kohonen map algorithm; neural network; Character recognition; Computer networks; Equations; Feature extraction; Intelligent networks; Iterative algorithms; Neural networks; Pattern classification; Pattern recognition;
  • 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.1994.374383
  • Filename
    374383