• DocumentCode
    2821857
  • Title

    Neural networks via nonlinear sensitivity approach

  • Author

    Jiao, L.C. ; Bao, Z.

  • Author_Institution
    Center for Neural Network & Inst. of Electron. Eng., Xidian Univ., Xian, China
  • fYear
    1991
  • fDate
    11-14 Jun 1991
  • Firstpage
    2542
  • Abstract
    The sensitivity, semisensitivity, trail sensitivity, and nth-order zero sensitivity of neural networks are investigated. The sensitivity analysis approach of nonlinear neural network systems is established. As an example, the sensitivities of the Hopfield neural network model are studied
  • Keywords
    neural nets; nonlinear network analysis; sensitivity analysis; Hopfield neural network model; nonlinear sensitivity; nth-order zero sensitivity; semisensitivity; sensitivity analysis; trail sensitivity; Associative memory; Chaos; Computer architecture; Computer networks; High performance computing; Hopfield neural networks; Neural network hardware; Neural networks; System performance; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1991., IEEE International Sympoisum on
  • Print_ISBN
    0-7803-0050-5
  • Type

    conf

  • DOI
    10.1109/ISCAS.1991.176045
  • Filename
    176045