• DocumentCode
    714723
  • Title

    Multiplication-free Neural Networks

  • Author

    Akbas, Cem Emre ; Bozkurt, Alican ; Cetin, A. Enis ; Cetin-Atalay, Rengul ; Uner, Aysegul

  • Author_Institution
    Bilkent Univ. Elektrik ve Elektron. Muhendisligi Bolumu, Ankara, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    2416
  • Lastpage
    2418
  • Abstract
    In this article, a multiplication-free artificial Neural Network (ANN) structure is proposed. Inner products between the input vectors and the ANN weights are implemented using a multiplication-free vector operator. Training of the new artificial neural network structure is carried out using the sign-LMS algorithm. Proposed ANN system can be used in applications requiring low-power usage or running on microprocessors that have limited processing power.
  • Keywords
    least mean squares methods; neural nets; vectors; ANN structure; ANN weights; input vector; multiplication-free artificial neural network; multiplication-free vector operator; sign-LMS algorithm; Artificial neural networks; Computational modeling; Conferences; Convolution; Histograms; Pattern recognition; Artificial Neural Network; Multiplication-free Operator;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7130369
  • Filename
    7130369
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=714723