Add to ORKGBy using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study the existence and global stability of periodic solution for discrete delayed high-order Hopfield-type neural networks. We obtain some easily verifiable sufficient condi-tions to ensure that there exists a unique periodic solution, and all theirs solutions con-verge to such a periodic solution. 1
AbstractThis paper is concerned with existence and global exponential stability of periodic solution...
Abstract. We study the existence and global exponential stability of posi-tive periodic solutions fo...
AbstractA set of criteria is presented for the global exponential stability and the existence of per...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
AbstractBy using the continuation theorem of coincidence degree theory and constructing suitable Lya...
In this paper, we consider higher-order Hopfield neural networks (HHNNs) with time-varying delays....
Abstract. In this paper, a Hopfield neural network with neutral time-varying delays is investi-gated...
By using the continuation theorem of coincidence degree theory and Lyapunov functions, we study the ...
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 Mawhins coincidence degree theory and constructing a su...
A class of Clifford-valued high-order Hopfield neural networks (HHNNs) with state-dependent and leak...
We study the stability of a delayed Hopfield neural network with periodic coefficients and inputs an...
AbstractSufficient conditions are obtained for the existence and global attractivity of periodic sol...
AbstractThis paper is concerned with existence and global exponential stability of periodic solution...
Abstract. We study the existence and global exponential stability of posi-tive periodic solutions fo...
AbstractA set of criteria is presented for the global exponential stability and the existence of per...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study t...
AbstractBy using the continuation theorem of coincidence degree theory and constructing suitable Lya...
In this paper, we consider higher-order Hopfield neural networks (HHNNs) with time-varying delays....
Abstract. In this paper, a Hopfield neural network with neutral time-varying delays is investi-gated...
By using the continuation theorem of coincidence degree theory and Lyapunov functions, we study the ...
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 Mawhins coincidence degree theory and constructing a su...
A class of Clifford-valued high-order Hopfield neural networks (HHNNs) with state-dependent and leak...
We study the stability of a delayed Hopfield neural network with periodic coefficients and inputs an...
AbstractSufficient conditions are obtained for the existence and global attractivity of periodic sol...
AbstractThis paper is concerned with existence and global exponential stability of periodic solution...
Abstract. We study the existence and global exponential stability of posi-tive periodic solutions fo...
AbstractA set of criteria is presented for the global exponential stability and the existence of per...