• DocumentCode
    2040050
  • Title

    Real-time neural computation of the eigenvectors of a matrix

  • Author

    Luo Fa-Long ; Li Yan-Da

  • Author_Institution
    Dept. of Autom., Tsinghua Univ., Beijing, China
  • Volume
    2
  • fYear
    1993
  • fDate
    19-21 Oct. 1993
  • Firstpage
    778
  • Abstract
    This paper proposes a neural network approach for computing in real-time the eigenvectors corresponding to all the eigenvalues of a matrix. We show that the proposed neural network is guaranteed to be stable and to provide the desired eigenvectors with arbitrarily small error during an elapsed time of only a few characteristic time constants of the network.<>
  • Keywords
    eigenvalues and eigenfunctions; mathematics computing; matrix algebra; neural nets; real-time systems; eigenvalues; eigenvectors; matrix; neural network; neural network approach; real-time neural computation; time constants; Analog computers; Automatic control; Automation; Computer networks; Eigenvalues and eigenfunctions; Integrated circuit interconnections; Neural networks; Neurons; Signal processing; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    0-7803-1233-3
  • Type

    conf

  • DOI
    10.1109/TENCON.1993.320129
  • Filename
    320129
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2040050