• DocumentCode
    3614565
  • Title

    Fuzzy ARTMAP with relevance factor

  • Author

    R. Andonie;L. Sasu;V. Beiu

  • Author_Institution
    Dept. of Electron. & Comput., Transylvania Univ. of Brasov, Romania
  • Volume
    3
  • fYear
    2003
  • fDate
    6/25/1905 12:00:00 AM
  • Firstpage
    1975
  • Abstract
    An incremental, nonparametric probability estimation procedure using a variation of the Fuzzy ARTMAP (FAM) neural network is introduced. The resulted network, called Fuzzy ARTMAP with relevance factor (FAMR), uses a relevance factor assigned to each sample pair, proportional to the importance of the respective pair during the learning phase. Experimental results have shown that FAMR favorably compares with FAM and probabilistic FAM, both as a classifier and as a probability estimator.
  • Keywords
    "Neural networks","Learning systems","Computer networks","Computer science","Fuzzy neural networks","Data mining","Face","Pattern recognition","Probability density function","Noise level"
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2003. Proceedings of the International Joint Conference on
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7898-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2003.1223710
  • Filename
    1223710
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3614565