• DocumentCode
    1714380
  • Title

    Investigation of recall image by Partitioned Hopfield Neural Network

  • Author

    Shima, Tomoya ; Ikuta, Chihiro ; Uwate, Yoko ; Nishio, Yoshifumi

  • Author_Institution
    Dept. Electr. & Electron. Eng, Tokushima Univ., Tokushima, Japan
  • fYear
    2011
  • Firstpage
    41
  • Lastpage
    44
  • Abstract
    In this study, we propose Partitioned Hopfield Neural Network (PHNN) to realize the memory mechanism of the human brain. The PHNN is realized by arranging cell which has a small HNN in the whole image regularly without overlap. By computer simulations, we confirm that the PHNN recalls the whole image from the partial characteristic of the stored images.
  • Keywords
    Hopfield neural nets; brain; digital simulation; image processing; PHNN; computer simulations; human brain; memory mechanism; partitioned hopfield neural network; recall image investigation; Associative memory; Biological neural networks; High definition video; Humans; Information processing; Neurons; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuit Theory and Design (ECCTD), 2011 20th European Conference on
  • Conference_Location
    Linkoping
  • Print_ISBN
    978-1-4577-0617-2
  • Electronic_ISBN
    978-1-4577-0616-5
  • Type

    conf

  • DOI
    10.1109/ECCTD.2011.6043339
  • Filename
    6043339
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1714380