• DocumentCode
    1769134
  • Title

    Effectiveness of artificial neural network with time-varying coupling system

  • Author

    Uwate, Yoko ; Nishio, Yusuke

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    2005
  • Lastpage
    2008
  • Abstract
    We have recently proposed a novel neural network structure called an “Affordable Neural Network” (AfNN), in which affordable neurons of the hidden layer are considered as the elements responsible for the robustness property as is observed in human brain function. In this study, we investigate the mechanism of learning process of the AfNN to make clear the reason of that the AfNNs can perform well for learning and generalization abilities and operate as usually against damaging neurons.
  • Keywords
    brain; neural nets; robust control; time-varying systems; AfNN; affordable neural network; artificial neural network; generalization abilities; human brain function; learning abilities; neural network structure; neurons; robustness property; time-varying coupling system; Artificial neural networks; Biological neural networks; Fault tolerance; Fault tolerant systems; Neurons; Neuroscience; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
  • Conference_Location
    Melbourne VIC
  • Print_ISBN
    978-1-4799-3431-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2014.6865557
  • Filename
    6865557