In this paper, we study the equilibrium set of cellular neural networks (CNN's). We establish new conditions for the stability of equilibria in delayed cellular neural networks (DCNN's), and we also study the topology of the equilibrium set-whether equilibria are isolated. © 1998 IEEE
We present an approach to estimate the basin of attraction of stable equilibrium points in cellular ...
In this paper, we analyse the equilibria of neural networks which consist of a set of sigmoid nonlin...
AbstractIn this paper, by using the concept of differential equations with piecewise constant argume...
In this paper, we study the equilibrium set of cellular neural networks (CNN's). We establish new co...
Cellular neural networks are dynamical systems, described by a large set of coupled nonlinear differ...
This paper presents new sufficient conditions for the global exponential stability of the equilibriu...
This brief presents new sufficient conditions for the global exponential stability of the equilibriu...
This paper presents a sufficient condition for the uniqueness and global asymptotic stability of the...
In this paper; we obtain a new sufficient condition for the existence of a stable equilibrium point ...
In this paper, we study the distribution of attraction basins of multiple equilibrium points of cell...
A cellular neural network is an artificial neural network which features a multi-dimensional array o...
AbstractIn this paper, without assuming the boundedness, monotonicity, and differentiability of the ...
We firstly employ the fixed point theory to study the stability of cellular neural networks without ...
AbstractThis paper presents a survey of the mathematical tools used for the analysis of cellular neu...
A new criterion on exponential stability of the equilibrium point for a class of discrete cellular n...
We present an approach to estimate the basin of attraction of stable equilibrium points in cellular ...
In this paper, we analyse the equilibria of neural networks which consist of a set of sigmoid nonlin...
AbstractIn this paper, by using the concept of differential equations with piecewise constant argume...
In this paper, we study the equilibrium set of cellular neural networks (CNN's). We establish new co...
Cellular neural networks are dynamical systems, described by a large set of coupled nonlinear differ...
This paper presents new sufficient conditions for the global exponential stability of the equilibriu...
This brief presents new sufficient conditions for the global exponential stability of the equilibriu...
This paper presents a sufficient condition for the uniqueness and global asymptotic stability of the...
In this paper; we obtain a new sufficient condition for the existence of a stable equilibrium point ...
In this paper, we study the distribution of attraction basins of multiple equilibrium points of cell...
A cellular neural network is an artificial neural network which features a multi-dimensional array o...
AbstractIn this paper, without assuming the boundedness, monotonicity, and differentiability of the ...
We firstly employ the fixed point theory to study the stability of cellular neural networks without ...
AbstractThis paper presents a survey of the mathematical tools used for the analysis of cellular neu...
A new criterion on exponential stability of the equilibrium point for a class of discrete cellular n...
We present an approach to estimate the basin of attraction of stable equilibrium points in cellular ...
In this paper, we analyse the equilibria of neural networks which consist of a set of sigmoid nonlin...
AbstractIn this paper, by using the concept of differential equations with piecewise constant argume...
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