Stability problems of continuous-time recurrent neural networks have been extensively
studied, and many papers have been published in the literature. The purpose of this paper is …

This article is basically concerned with the stability and Hopf bifurcation problem of fractional-
order three-triangle multi-delayed neural networks. Based on laplace transform, we obtain …

The stability and Hopf bifurcation have important effect on the design of neural networks. By
revealing the effect of parameters on the stability and Hopf bifurcation of neural networks, we …

In this paper, the existence and uniqueness of the equilibrium point and its global asymptotic
stability are discussed for a general class of recurrent neural networks with time-varying …

Sufficient conditions are derived for the delay independent stability of the equilibria in
Hopfield's graded response networks of the type dx i (t)/dt=-bixi (t)+ Σ nj= 1 a ij fj (μ jxj (t-τ …

In this paper, a class of recurrent neural networks with discrete and continuously distributed
delays is considered. Sufficient conditions for the existence, uniqueness, and global …

In this paper, two related problems, global asymptotic stability (GAS) and global robust
stability (GRS) of neural networks with time delays, are studied. First, GAS of delayed neural …

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 …

In this paper, we introduce a new class of discrete-time neural networks (DNNs) with
Markovian jumping parameters as well as mode-dependent mixed time delays (both …

For neural networks with constant or time-varying delays, the problems of determining the
exponential stability and estimating the exponential convergence rate are studied in this …