• DocumentCode
    1713632
  • Title

    Fuzzy hypersphere neural network classifier

  • Author

    Kulkarni, U.V. ; Sontakke, T.R.

  • Author_Institution
    Electron. & Comput. Sci. & Eng. Dept., SGGS Coll. of Eng. & Technol., Vishnupuri, India
  • Volume
    3
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    1559
  • Lastpage
    1562
  • Abstract
    In this paper fuzzy hypersphere neural network (FHSNN) is proposed with its learning algorithm. The FHSNN utilizes fuzzy sets as pattern classes in which each fuzzy set is an union of fuzzy set hyperspheres. Its performance is compared with other two fuzzy neural networks and found to be superior with respect to the training time, recall time per pattern and the generalization
  • Keywords
    fuzzy neural nets; fuzzy set theory; learning (artificial intelligence); pattern classification; FHSNN; fuzzy hypersphere neural network classifier; fuzzy sets; generalization; learning algorithm; pattern classes; pattern classification; pattern clustering; recall time; training time; Character recognition; Clustering algorithms; Computer science; Educational institutions; Fuzzy neural networks; Fuzzy sets; Handwriting recognition; Neural networks; Neurons; Pattern classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2001. The 10th IEEE International Conference on
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-7293-X
  • Type

    conf

  • DOI
    10.1109/FUZZ.2001.1008961
  • Filename
    1008961
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1713632