• DocumentCode
    1479889
  • Title

    Compact building blocks for artificial neural networks

  • Author

    Meléndez-Rodríguez, M. ; Silva-Martínez, J.

  • Author_Institution
    Nat. Inst. of Astrophys. Opt. & Electron., Puebla, Mexico
  • Volume
    35
  • Issue
    1
  • fYear
    1999
  • fDate
    1/7/1999 12:00:00 AM
  • Firstpage
    56
  • Lastpage
    57
  • Abstract
    A four quadrant analogue multiplier, an activation function and a differentiator intended for the implementation of backpropagation algorithms are proposed. The priorities for the design are low-power, low-voltage, and minimum silicon area. Breadboard results, showing good agreement with the theoretical ones, are reported
  • Keywords
    analogue multipliers; backpropagation; differentiating circuits; low-power electronics; neural nets; activation function; analogue multiplier; artificial neural network; backpropagation algorithm; building block; differentiator; low-power low-voltage circuit; silicon area;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19990017
  • Filename
    749220
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1479889