As we know, the notion of dissipativity is an important dynamical property of neural networks.
Thus, the analysis of dissipativity of neural networks with time delay is becoming more and …

Stochastic disturbances often cause undesirable characteristics in real-world system
modeling. As a result, investigations on stochastic disturbances in neural network (NN) …

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 …

Octonion-valued neural networks (OVNNs) are a type of neural networks for which the states
and weights are octonions. The octonion algebra is the only normed division algebra that …

In this paper, the H∞ state estimation problem is investigated for a class of uncertain
discrete-time neural networks subject to infinitely distributed delays and fading channels …

In this paper, the problem of state estimation is investigated for a class of discrete-time
complex-valued neural networks (CVNNs) with both leakage delay and discrete time …

The paper is concerned with the existence and global asymptotic stability of periodic
solutions for a class of delayed complex-valued Cohen–Grossberg neural networks. Without …

In this paper, we extensively study the global asymptotic stability problem of complex-valued
neural networks with leakage delay and additive time-varying delays. By constructing a …

This paper concentrates on the coexistence and dynamical behaviors of multiple equilibrium
points for a class of memristor-based complex-valued neural networks (MCVNNs) with non …

In this paper, the issue of event-triggered μ-state estimation is addressed for a class of
Markovian jumping neural networks (MJNNs) with mixed delays. The mixed delays involve …