• DocumentCode
    3776475
  • Title

    Improved recurrent neural network architecture for SVM learning

  • Author

    Rahma Fourati;Chaouki Aouiti;Adel M. Alimi

  • Author_Institution
    REGIM-Lab.: REsearch Groups in Intelligent Machines, University of Sfax, ENIS, Tunisia
  • fYear
    2015
  • Firstpage
    178
  • Lastpage
    182
  • Abstract
    In this paper, we provide an improvement of the circuit implementation of a one-layer recurrent neural network for support vector machine learning in pattern classification and regression. Our goal is to reduce the complexity of this architecture. Numerical example with graphical illustration is given to illuminate our main results.
  • Keywords
    "MATLAB","Artificial neural networks","Computational modeling","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on
  • Electronic_ISBN
    2164-7151
  • Type

    conf

  • DOI
    10.1109/ISDA.2015.7489221
  • Filename
    7489221
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3776475