• DocumentCode
    270708
  • Title

    Independent component analysis by memristor based neural networks

  • Author

    Rák, Ádám ; Cserey, György

  • Author_Institution
    Fac. of Inf. Technol. & Bionics, Pazmany Peter Catholic Univ., Budapest, Hungary
  • fYear
    2014
  • fDate
    29-31 July 2014
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, we propose a memristor based circuit for independent component analysis. The structure of our circuit is described in detail. The simulation results show that our memristor based circuit structure can learn blind source separation in an unsupervised way.
  • Keywords
    blind source separation; circuit simulation; independent component analysis; memristors; neural nets; independent component analysis; memristor; neural network; unsupervised blind source separation; Conductivity; Educational institutions; Independent component analysis; Memristors; Neural networks; Neurons; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Nanoscale Networks and their Applications (CNNA), 2014 14th International Workshop on
  • Conference_Location
    Notre Dame, IN
  • Type

    conf

  • DOI
    10.1109/CNNA.2014.6888626
  • Filename
    6888626
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=270708