• DocumentCode
    786397
  • Title

    Coded block neural network VLSI system using an adaptive learning-rate technique to train Chinese character patterns

  • Author

    Chen, Brian Y. ; Kuo, J.B.

  • Author_Institution
    Nat. Taiwan Univ., Taipei, Taiwan
  • Volume
    28
  • Issue
    21
  • fYear
    1992
  • Firstpage
    1941
  • Lastpage
    1942
  • Abstract
    A coded block neural network VLSI system is presented that uses an adaptive learning-rate technique to train Chinese character patterns. Using the adaptive learning-rate technique, 500 Chinese characters have been successfully trained in 47.2 h using a 28 MIPs computer.
  • Keywords
    VLSI; character recognition; image recognition; learning systems; neural nets; Chinese character pattern recognition; adaptive epoch based backpropagation; adaptive learning-rate technique; coded block neural network VLSI system;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19921244
  • Filename
    170848
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=786397