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
fDate :
4/1/1998 12:00:00 AM
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;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
