Robust stability properties of continuous-time dynamical neural networks involving time
delay parameters have been extensively studied, and many sufficient criteria for robust …

In this paper, the boundedness and robust stability for a class of delayed complex-valued
neural networks with interval parameter uncertainties are investigated. By using …

In this paper, we investigate a new exponential stability criterion for uncertain discrete-time
neural networks with both multiple leakage time-varying delays and discrete time-varying …

This research article considers the problem regarding global robust asymptotic stability of
the general type of dynamical neural networks involving multiple constant time delays. Some …

From the perspective of large‐scale system, a complex dynamical network can be regarded
as the interconnected system with the node subsystem and link subsystem, which implies …

The problem of passivity analysis of stochastic neural networks with leakage delay and
Markovian jumping parameters is considered in this article. By utilizing the Lyapunov …

This paper investigates the problem of robust passivity of uncertain stochastic neural
networks with time-varying delays and Markovian jumping parameters. To reflect most of the …

Our purpose in this paper is to construct three types of single-hidden layer feed-forward
neural networks (FNNs) with optimized piecewise linear activation functions and fixed …

In this paper, by using the general discrete Halanay inequalities, the techniques of
inequalities and some other properties, we study the ultimate boundedness of a class of the …