Add to ORKGBy using coincidence degree theory and Lyapunov functions, we study the existence and global exponential stability of antiperiodic solutions for a class of generalized neural networks with impulses and arbitrary delays on time scales. Some completely new sufficient conditions are established. Finally, an example is given to illustrate our results. These results are of great significance in designs and applications of globally stable anti-periodic Cohen-Grossberg neural networks with delays and impulses.</p
In this paper, a kind of BAM neural networks with leakage delays in the negative feedback terms and ...
In this paper, by using Mawhin-s continuation theorem of coincidence degree and a method based on de...
Abstract. We study the existence and global exponential stability of posi-tive periodic solutions fo...
In this paper we investigate a class of artificial neural networks with delays subject to periodic i...
By using the method of coincidence degree theory and Lyapunov functions, some new criteria are estab...
By using the method of coincidence degree and constructing suitable Lyapunov functional, some suffic...
The problem on global exponential stability of antiperiodic solution is investigated for a class of ...
By using the method of coincidence degree theory and constructing suitable Lyapunov functional, seve...
In this paper, by using the continuation theorem of coincidence degree theory, M-matrix theory and c...
By using the method of coincidence degree and constructing suitable Lyapunov functional, some suffic...
By using the continuation theorem of coincidence degree theory and Lyapunov functions, we study the ...
This paper is concerned with quaternion-valued shunting inhibitory cellular neural networks (QVSICNN...
AbstractThis paper is concerned with existence and global exponential stability of periodic solution...
This paper is concerned with the problem of the existence, uniqueness, and global exponential stabil...
AbstractIn this paper, Cohen–Grossberg neural networks (CGNNs) with delays are considered. Some new ...
In this paper, a kind of BAM neural networks with leakage delays in the negative feedback terms and ...
In this paper, by using Mawhin-s continuation theorem of coincidence degree and a method based on de...
Abstract. We study the existence and global exponential stability of posi-tive periodic solutions fo...
In this paper we investigate a class of artificial neural networks with delays subject to periodic i...
By using the method of coincidence degree theory and Lyapunov functions, some new criteria are estab...
By using the method of coincidence degree and constructing suitable Lyapunov functional, some suffic...
The problem on global exponential stability of antiperiodic solution is investigated for a class of ...
By using the method of coincidence degree theory and constructing suitable Lyapunov functional, seve...
In this paper, by using the continuation theorem of coincidence degree theory, M-matrix theory and c...
By using the method of coincidence degree and constructing suitable Lyapunov functional, some suffic...
By using the continuation theorem of coincidence degree theory and Lyapunov functions, we study the ...
This paper is concerned with quaternion-valued shunting inhibitory cellular neural networks (QVSICNN...
AbstractThis paper is concerned with existence and global exponential stability of periodic solution...
This paper is concerned with the problem of the existence, uniqueness, and global exponential stabil...
AbstractIn this paper, Cohen–Grossberg neural networks (CGNNs) with delays are considered. Some new ...
In this paper, a kind of BAM neural networks with leakage delays in the negative feedback terms and ...
In this paper, by using Mawhin-s continuation theorem of coincidence degree and a method based on de...
Abstract. We study the existence and global exponential stability of posi-tive periodic solutions fo...