• DocumentCode
    747826
  • Title

    Digital kernel perceptron

  • Author

    Anguita, D. ; Boni, A. ; Ridella, S.

  • Author_Institution
    Dept. of Biophys. & Electron. Eng., Univ. of Genova, Italy
  • Volume
    38
  • Issue
    10
  • fYear
    2002
  • fDate
    5/9/2002 12:00:00 AM
  • Firstpage
    445
  • Lastpage
    446
  • Abstract
    It is shown that a kernel-based perceptron can be efficiently implemented in digital hardware using very few components. Despite its simplicity, the experimental results on standard data sets show remarkable performance in terms of generalisation error
  • Keywords
    large scale integration; learning systems; perceptrons; signal classification; VLSI-based learning systems; classification; digital hardware; digital kernel perceptron; generalisation error; performance; sonar data;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20020330
  • Filename
    1003001
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=747826