In this paper, the global exponential stability and periodicity for a class of reaction–diffusion
delayed recurrent neural networks with Dirichlet boundary conditions are addressed by …

This paper introduces a general class of neural networks with arbitrary constant delays in
the neuron interconnections, and neuron activations belonging to the set of discontinuous …

Impulsive differential equations are used for the mathematical simulation of processes which
are subject to impulses during their evolution. Such processes can be observed in …

This brief presents new theoretical results on the global exponential stability of neural
networks with time-varying delays and Lipschitz continuous activation functions. These …

This Letter presents some new sufficient conditions for the uniqueness and global
asymptotic stability (GAS) of the equilibrium point for a larger class of neural networks with …

In this Letter, we discuss a class of Cohen–Grossberg neural networks with time delays and
investigate their global asymptotic stability of the equilibrium point for this systems. By …

In this paper, global asymptotic stability is discussed for neural networks with time-varying
delay. Several new criteria in matrix inequality form are given to ascertain the uniqueness …

The passivity conditions for delayed neural networks (DNNs) are considered in this paper.
We firstly derive the passivity condition for DNNs without uncertainties, and then extend the …

Neural Networks: Computational Models and Applications covers a wealth of important
theoretical and practical issues in neural networks, including the learning algorithms of feed …

In this paper, the Cohen–Grossberg neural network model with both time-varying and
continuously distributed delays is considered. Without assuming both global Lipschitz …