• DocumentCode
    1366897
  • Title

    The influence of the boundary conditions on the robustness of a CNN

  • Author

    Mirzai, Bahram ; Moschytz, George S.

  • Author_Institution
    Signal & Inf. Processing Lab., Swiss Federal Inst. of Technol., Zurich, Switzerland
  • Volume
    45
  • Issue
    4
  • fYear
    1998
  • fDate
    4/1/1998 12:00:00 AM
  • Firstpage
    511
  • Lastpage
    515
  • Abstract
    We investigate the issue of robustness and how it is affected by the choice of boundary values for a given template set. First we introduce a measure of robustness, and then we show that, in some cases, an appropriate choice of boundary value may increase the attainable robustness. In other cases, the boundary value may be varied within some interval without loss of robustness
  • Keywords
    cellular neural nets; matrix algebra; stability; CNN robustness; boundary conditions; boundary value; neural network; template set; Boundary conditions; Cellular neural networks; Circuits; Delay effects; Delay estimation; Delay lines; Delay systems; Robust stability; Robustness; Stability analysis;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.669075
  • Filename
    669075