• DocumentCode
    1234988
  • Title

    Digitally programmable nonlinear function generator for neural networks

  • Author

    Sargeni, F. ; Bonaiuto, V.

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Rome `Tor Vergata´´
  • Volume
    41
  • Issue
    3
  • fYear
    2005
  • Firstpage
    143
  • Lastpage
    145
  • Abstract
    The design of a new digitally programmable analogue circuit well suited for the implementation of several sets of nonlinear functions by approximating them by using a linear combination of sigmoidal terms is presented. The proposed circuit, allowing the building of several collections of nonlinear functions, would be useful in modelling artificial neural networks, fuzzy as well as partial differential equations based circuits
  • Keywords
    CMOS analogue integrated circuits; SPICE; current-mode circuits; function generators; neural chips; nonlinear functions; programmable circuits; artificial neural networks; digitally programmable analogue circuit; digitally programmable nonlinear function generator; partial differential equations based circuits;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20056397
  • Filename
    1393452
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1234988