As an imitation of the biological nervous systems, neural networks (NNs), which have been
characterized as powerful learning tools, are employed in a wide range of applications, such …

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 …

This paper studies the global Mittag–Leffler stability and stabilization analysis of fractional-
order quaternion-valued memristive neural networks (FOQVMNNs). The state feedback …

The existence, uniqueness and stability of the equilibrium of quaternion-valued neural
networks (QVNNs) with both discrete and distributed delays are investigated in this paper …

We study the global asymptotic stability problem with respect to the fractional-order
quaternion-valued bidirectional associative memory neural network (FQVBAMNN) models in …

In this paper, we analyze the global asymptotic stability and global exponential stability with
respect to the Clifford-valued neutral-type neural network (NN) models with time delays. By …

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 discusses the stability in Lagrange sense for complex-valued neural networks
with time-varying discrete delays and distributed delays as well as leakage delay. By …

The significant contribution of this paper is the addressing the stability issue of neutral-type
Cohen–Grossberg neural networks possessing multiple time delays in the states of the …

In scientific disciplines and other engineering applications, most of the systems refer to
uncertainties, because when modeling physical systems the uncertain parameters are …