In this article, we investigate the robust passivity and stability analysis of uncertain complex-
valued impulsive neural network (UCVINN) models with time-varying delays. Many practical …

In practical applications, stochastic effects are normally viewed as the major sources that
lead to the system's unwilling behaviours when modelling real neural systems. As such, the …

This paper investigates the global synchronization of impulsive fractional-order complex-
valued memristor-based neural networks with time varying delays. Based on the Riemann …

The stability of fractional-order complex-valued neural networks (FOCVNNs) with
probabilistic time-varying delays is investigated in this paper. By constructing suitable …

This paper investigates the leakage delay-dependent global asymptotic stability problem for
a class of complex-valued neural networks (CVNNs) with discrete and distributed time …

This paper studies the global asymptotic stability problem for a class of stochastic complex-
valued neural networks (SCVNNs) with probabilistic time-varying delays as well as …

This paper focuses on the exponential convergence of impulsive inertial complex-valued
neural networks with time-varying delays. The system can be expressed as a first order …

We study the robust dissipativity issue with respect to the Hopfield-type of complex-valued
neural network (HTCVNN) models incorporated with time-varying delays and linear …

In an modern world, image encryption played an vital role to prevent our data from illegal
abuser entrée. Based on this, in this paper, the Markovian jump neural networks for …

This paper discusses octonion-valued neural networks (OVNNs) with leakage delay, time-
varying delays, and distributed delays, for which the states, weights, and activation functions …