AbstractIn this paper high-order Hopfield neural networks (HHNNs) with time-varying delays are considered. Sufficient conditions for the existence and exponential stability of anti-periodic solutions are established, which are new and complement previously known results
We first propose the concept of almost periodic time scales and then give the definition of almost p...
AbstractIn this paper the convergence behavior of the delayed high-order Hopfield neural networks (H...
By M-matrix theory, inequality techniques, and Lyapunov functional method, certain sufficient condit...
In this paper, we consider higher-order Hopfield neural networks (HHNNs) with time-varying delays....
A class of Clifford-valued high-order Hopfield neural networks (HHNNs) with state-dependent and leak...
AbstractIn this paper high-order Hopfield neural networks (HHNNs) with time-varying delays are consi...
AbstractWe investigate stationary oscillation for high-order Hopfield neural networks with time dela...
AbstractBy using the continuation theorem of coincidence degree theory and constructing suitable Lya...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
This paper deals with a class of quaternion-valued high-order Hopfield neural networks with time-var...
Abstract. In this paper, a Hopfield neural network with neutral time-varying delays is investi-gated...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
AbstractThis paper discusses a generalized model of high-order Hopfield-type neural networks with ti...
AbstractIn this paper, Cohen–Grossberg neural networks (CGNNs) with delays are considered. Some new ...
In this paper we investigate a class of artificial neural networks with delays subject to periodic i...
We first propose the concept of almost periodic time scales and then give the definition of almost p...
AbstractIn this paper the convergence behavior of the delayed high-order Hopfield neural networks (H...
By M-matrix theory, inequality techniques, and Lyapunov functional method, certain sufficient condit...
In this paper, we consider higher-order Hopfield neural networks (HHNNs) with time-varying delays....
A class of Clifford-valued high-order Hopfield neural networks (HHNNs) with state-dependent and leak...
AbstractIn this paper high-order Hopfield neural networks (HHNNs) with time-varying delays are consi...
AbstractWe investigate stationary oscillation for high-order Hopfield neural networks with time dela...
AbstractBy using the continuation theorem of coincidence degree theory and constructing suitable Lya...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
This paper deals with a class of quaternion-valued high-order Hopfield neural networks with time-var...
Abstract. In this paper, a Hopfield neural network with neutral time-varying delays is investi-gated...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
AbstractThis paper discusses a generalized model of high-order Hopfield-type neural networks with ti...
AbstractIn this paper, Cohen–Grossberg neural networks (CGNNs) with delays are considered. Some new ...
In this paper we investigate a class of artificial neural networks with delays subject to periodic i...
We first propose the concept of almost periodic time scales and then give the definition of almost p...
AbstractIn this paper the convergence behavior of the delayed high-order Hopfield neural networks (H...
By M-matrix theory, inequality techniques, and Lyapunov functional method, certain sufficient condit...
DOI
Add to ORKG