Title :
Number of stable equilibrium states of cellular neural networks
Author_Institution :
Inst. de Physiol., Fribourg Univ., Switzerland
fDate :
9/1/1994 12:00:00 AM
Abstract :
In this report we present an explicit formula for the number of stable equilibrium states of one dimensional cellular neural networks. It is based on the equivalence of stable equilibrium states and paths in a graph representing neighborhood consistency conditions
Keywords :
graph theory; neural nets; stability; cellular neural networks; equivalence; graph paths; neighborhood consistency conditions; one dimensional neural networks; stable equilibrium states; Boundary conditions; Cellular neural networks; Computer networks; Equations; Feature extraction; Filtering; Multidimensional systems; Shape; Signal processing; Signal processing algorithms;
Journal_Title :
Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
