• DocumentCode
    3121227
  • Title

    The designing and training of a fuzzy neural Hamming classifier

  • Author

    Hua, Qiang ; Zhen, Qi-lun

  • Author_Institution
    Huizhou Univ., China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    351
  • Lastpage
    358
  • Abstract
    The Fuzzy Neural Hamming Classifier (FNHC) can resolve the pattern overlap with the degree of fuzzy class membership; ensure the convergence and decrease the interconnection with the comparison subnet; accept both binary and non-binary input. Using only integer threshold and weights, FNHC is easily implemented in VLSI technology
  • Keywords
    Hamming codes; fuzzy neural nets; pattern recognition; VLSI technology; comparison subnet; fuzzy class membership; fuzzy neural Hamming classifier; integer threshold; pattern overlap; Artificial neural networks; Convergence; Emulation; Integrated circuit interconnections; Neural networks; Neurons; Pattern matching; Pattern recognition; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multiple-Valued Logic, 2001. Proceedings. 31st IEEE International Symposium on
  • Conference_Location
    Warsaw
  • ISSN
    0195-623X
  • Print_ISBN
    0-7695-1083-3
  • Type

    conf

  • DOI
    10.1109/ISMVL.2001.924595
  • Filename
    924595
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3121227