• DocumentCode
    3274004
  • Title

    Use of bootstrap samples in designing artificial neural network classifiers

  • Author

    Mitani, Yoshihiro ; Hamamoto, Yoshihiko ; Tomita, Shingo

  • Author_Institution
    Fac. of Eng., Yamaguchi Univ., Ube, Japan
  • Volume
    4
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    2103
  • Abstract
    We propose a new bootstrap method for designing artificial neural network (ANN) classifiers. Moreover, the classification performance of ANN classifiers based on the new bootstrap method is demonstrated in small training sample size situations on the artificial data sets
  • Keywords
    backpropagation; neural nets; pattern classification; statistical analysis; artificial neural network classifiers; bootstrap samples; classification performance; Artificial neural networks; Design engineering; Design methodology; Electronic mail; Error probability; Extrapolation; Intelligent networks; Interpolation; Neurons; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.489001
  • Filename
    489001
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3274004