A technique is discussed in order to find an estimation of the basin of attraction for each stable equilibrium point in cellular neural networks. The technique is based on the determination of the direction of the trajectories for each of the regions in which the state space is divided via the piecewise linear output function of each cel
A method of synthesis of mutually coupled neural networks possessing many equilibrium points whose b...
This study describes the spatial disorder of one-dimensional Cellular Neural Networks (CNN) with a b...
It is known that symmetric cellular neural networks (CNNs) are completely stable, i.e., each traject...
We present an approach to estimate the basin of attraction of stable equilibrium points in cellular ...
A technique is discussed in order to find an estimation of the basin of attraction for each stable e...
In this paper, we study the distribution of attraction basins of multiple equilibrium points of cell...
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...
AbstractThis paper presents a survey of the mathematical tools used for the analysis of cellular neu...
In this paper; we obtain a new sufficient condition for the existence of a stable equilibrium point ...
Abstract. We consider a cellular neural network (CNN) with a bias term z in the integer lattice Z2 o...
This paper presents a cellular neural network (CNN) scheme employing a new non-linear activation fun...
An attractor modeling algorithm is introduced which draws upon techniques found in nonlineax dynamic...
Conference: International Symposium on Complex Computing-Networks; Location: Dogus Univ Istanbul, Is...
The author analyzes the number, location, and stability behavior of the equilibria of arbitrary nonl...
A method of synthesis of mutually coupled neural networks possessing many equilibrium points whose b...
This study describes the spatial disorder of one-dimensional Cellular Neural Networks (CNN) with a b...
It is known that symmetric cellular neural networks (CNNs) are completely stable, i.e., each traject...
We present an approach to estimate the basin of attraction of stable equilibrium points in cellular ...
A technique is discussed in order to find an estimation of the basin of attraction for each stable e...
In this paper, we study the distribution of attraction basins of multiple equilibrium points of cell...
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...
AbstractThis paper presents a survey of the mathematical tools used for the analysis of cellular neu...
In this paper; we obtain a new sufficient condition for the existence of a stable equilibrium point ...
Abstract. We consider a cellular neural network (CNN) with a bias term z in the integer lattice Z2 o...
This paper presents a cellular neural network (CNN) scheme employing a new non-linear activation fun...
An attractor modeling algorithm is introduced which draws upon techniques found in nonlineax dynamic...
Conference: International Symposium on Complex Computing-Networks; Location: Dogus Univ Istanbul, Is...
The author analyzes the number, location, and stability behavior of the equilibria of arbitrary nonl...
A method of synthesis of mutually coupled neural networks possessing many equilibrium points whose b...
This study describes the spatial disorder of one-dimensional Cellular Neural Networks (CNN) with a b...
It is known that symmetric cellular neural networks (CNNs) are completely stable, i.e., each traject...
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