AbstractIn this paper recurrent neural networks with time-varying delays and continuously distributed delays are considered. Without assuming the global Lipschitz conditions of activation functions, some sufficient conditions for the existence and local exponential stability of the almost periodic solutions are established, which are new and complement previously known results
In this paper we discuss the existence and uniqueness of a k-pseudo almost periodic sequence so...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
AbstractIn this paper, the exponential periodicity and stability of neural networks with Lipschitz c...
AbstractIn this paper recurrent neural networks with time-varying delays and continuously distribute...
AbstractIn this paper recurrent neural networks with time-varying delays and continuously distribute...
In this paper, a class of recurrent neural networks (RNNs) with variable delays are studied on almos...
AbstractIn this paper the shunting inhibitory cellular neural networks (SICNNs) with continuously di...
AbstractIn this paper, Cohen–Grossberg neural networks (CGNNs) with delays are considered. Some new ...
AbstractIn this paper high-order Hopfield neural networks (HHNNs) with time-varying delays are consi...
AbstractThis paper is concerned with existence and global exponential stability of periodic solution...
AbstractBy using exponential dichotomy, the Banach fixed point theory and some inequality analysis t...
AbstractIn this paper, a class of 2N almost periodic attractors for Cohen–Grossberg-type bi-directio...
This paper discusses the existence and global uniform asymptotic stability of almost periodic soluti...
AbstractBy using the continuation theorem of Mawhin's coincidence degree theory and Gronwall's inequ...
The paper considers a general neural network model with impulses at a given sequence of instants, di...
In this paper we discuss the existence and uniqueness of a k-pseudo almost periodic sequence so...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
AbstractIn this paper, the exponential periodicity and stability of neural networks with Lipschitz c...
AbstractIn this paper recurrent neural networks with time-varying delays and continuously distribute...
AbstractIn this paper recurrent neural networks with time-varying delays and continuously distribute...
In this paper, a class of recurrent neural networks (RNNs) with variable delays are studied on almos...
AbstractIn this paper the shunting inhibitory cellular neural networks (SICNNs) with continuously di...
AbstractIn this paper, Cohen–Grossberg neural networks (CGNNs) with delays are considered. Some new ...
AbstractIn this paper high-order Hopfield neural networks (HHNNs) with time-varying delays are consi...
AbstractThis paper is concerned with existence and global exponential stability of periodic solution...
AbstractBy using exponential dichotomy, the Banach fixed point theory and some inequality analysis t...
AbstractIn this paper, a class of 2N almost periodic attractors for Cohen–Grossberg-type bi-directio...
This paper discusses the existence and global uniform asymptotic stability of almost periodic soluti...
AbstractBy using the continuation theorem of Mawhin's coincidence degree theory and Gronwall's inequ...
The paper considers a general neural network model with impulses at a given sequence of instants, di...
In this paper we discuss the existence and uniqueness of a k-pseudo almost periodic sequence so...
Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any m...
AbstractIn this paper, the exponential periodicity and stability of neural networks with Lipschitz c...