• DocumentCode
    259175
  • Title

    Hopfield neural networks with problem perturbing noise

  • Author

    Kumeno, Hironori

  • Author_Institution
    Dept. of Electr. Eng., Matsue Collage of Technol., Matsue, Japan
  • fYear
    2014
  • fDate
    17-20 Nov. 2014
  • Firstpage
    771
  • Lastpage
    774
  • Abstract
    In this study, we propose hopfield neural networks with problem perturbing noise. In the proposed system, external noises are not induced to state values of neurons in order to avoid problems caused by the noise injection into the state values. We investigate the solving ability of the proposed system for quadratic assignment problems.
  • Keywords
    Hopfield neural nets; perturbation techniques; Hopfield neural networks; external noises; noise injection; problem perturbing noise; quadratic assignment problems; Artificial neural networks; Biological neural networks; Chaos; Neurons; Noise; Optimization; Production facilities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (APCCAS), 2014 IEEE Asia Pacific Conference on
  • Conference_Location
    Ishigaki
  • Type

    conf

  • DOI
    10.1109/APCCAS.2014.7032895
  • Filename
    7032895
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=259175