In this paper, the problem of stability analysis for neural networks with time-varying delays is
considered. By the use of a newly augmented Lyapunov functional and some novel …

In this paper, we are concerned with a class of recurrent neural networks with unbounded
time-varying delays. Based on the geometrical configuration of activation functions, the …

This paper deals with the problem of delay-dependent stability analysis for neural networks
with time-varying delays. First, by constructing an augmented Lyapunov–Krasovskii …

In this brief, the problem of delay-dependent stability of recurrent neural networks with time-
varying delays is studied. A newly augmented Lyapunov-Krasovskii functional (LKF) that …

This paper studies the problem of L p stability analysis of neural networks (NNs) with
multiple time-varying delays. The delays can be bounded or unbounded. Firstly, a new …

In this paper, a novel method is developed for the stability problem of a class of neural
networks with time-varying delay. New delay-dependent stability criteria in terms of linear …

This paper investigates the existence and uniqueness of the equilibrium point and its global
µ-stability for neutral-type impulsive complex-valued bidirectional associative memory …

Without assuming that the neuron activations are bounded, some delay-independent criteria
for interval delayed neural networks with discontinuous neuron activations are derived to …

In recently years, the stability of Cellular Neural networks has attracted many researchers,
and many different types of neural networks have been widely investigated. In this paper …

This paper proposes a novel approach called a combined reciprocal convexity approach for
the stability analysis of static neural networks with interval time-varying delays. The …