AbstractLet Y⊆{−1,1}Z∞×n be the mosaic solution space of an n-layer cellular neural network. We decouple Y into n subspaces, say Y(1),Y(2),…,Y(n), and give a necessary and sufficient condition for the existence of factor maps between them. In such a case, Y(i) is a sofic shift for 1⩽i⩽n. This investigation is equivalent to study the existence of factor maps between two sofic shifts. Moreover, we investigate whether Y(i) and Y(j) are topological conjugate, strongly shift equivalent, shift equivalent, or finitely equivalent via the well-developed theory in symbolic dynamical systems. This clarifies, in a multi-layer cellular neural network, each layerʼs structure. As an extension, we can decouple Y into arbitrary k-subspaces, where 2⩽k⩽n, and...
AbstractThis paper presents a survey of the mathematical tools used for the analysis of cellular neu...
The paper considers the full-range (FR) model of cellular neural networks (CNNs) characterized by id...
Cellular Neural Networks (CNNs) [1] are constructed by cells connected each other. The cell contains...
AbstractLet Y⊆{−1,1}Z∞×n be the mosaic solution space of an n-layer cellular neural network. We deco...
AbstractThis study investigates the complexity of the global set of output patterns for one-dimensio...
This work investigates mosaic patterns for the one-dimensional cellular neural networks with various...
A cellular automaton (or CA) is an interconnected set of finite state machines (or cells) such that ...
Abstract. We consider a cellular neural network (CNN) with a bias term z in the integer lattice Z2 o...
This paper considers a nonsymmetric standard (S) cellular neural network (CNN) array with cooperativ...
AbstractIn this paper, cellular neural networks with complex deviating arguments are considered. Suf...
The authors present a general framework within which the computability of solutions to problems by v...
In this paper, we discuss some properties of Block Feedback Neural Networks (B F N). In the first p...
The aim of this paper is the definition of a new model of Neural Network, called Generalized Cellula...
The paper considers the full-range (FR) model of cellular neural networks (CNNs) in the case where t...
[[abstract]]This work investigates the mosaic local patterns for cellular neural networks with gener...
AbstractThis paper presents a survey of the mathematical tools used for the analysis of cellular neu...
The paper considers the full-range (FR) model of cellular neural networks (CNNs) characterized by id...
Cellular Neural Networks (CNNs) [1] are constructed by cells connected each other. The cell contains...
AbstractLet Y⊆{−1,1}Z∞×n be the mosaic solution space of an n-layer cellular neural network. We deco...
AbstractThis study investigates the complexity of the global set of output patterns for one-dimensio...
This work investigates mosaic patterns for the one-dimensional cellular neural networks with various...
A cellular automaton (or CA) is an interconnected set of finite state machines (or cells) such that ...
Abstract. We consider a cellular neural network (CNN) with a bias term z in the integer lattice Z2 o...
This paper considers a nonsymmetric standard (S) cellular neural network (CNN) array with cooperativ...
AbstractIn this paper, cellular neural networks with complex deviating arguments are considered. Suf...
The authors present a general framework within which the computability of solutions to problems by v...
In this paper, we discuss some properties of Block Feedback Neural Networks (B F N). In the first p...
The aim of this paper is the definition of a new model of Neural Network, called Generalized Cellula...
The paper considers the full-range (FR) model of cellular neural networks (CNNs) in the case where t...
[[abstract]]This work investigates the mosaic local patterns for cellular neural networks with gener...
AbstractThis paper presents a survey of the mathematical tools used for the analysis of cellular neu...
The paper considers the full-range (FR) model of cellular neural networks (CNNs) characterized by id...
Cellular Neural Networks (CNNs) [1] are constructed by cells connected each other. The cell contains...