In this work, a bibliographic analysis on artificial neural networks (ANNs) using fractional
calculus (FC) theory has been developed to summarize the main features and applications …

For many years, optics has been employed in computing, although the major focus has been
and remains to be on connecting parts of computers, for communications, or more …

Complex-valued neural networks have many advantages over their real-valued
counterparts. Conventional digital electronic computing platforms are incapable of executing …

In this paper, the global exponential stability of complex-valued neural networks with both
time-varying delays and impulsive effects is discussed. By employing Lyapunov functional …

In this paper, we first propose quaternion-valued neural networks (QVNNs) with unbounded
time-varying delays. Some sufficient conditions on the global μ-stability in the form of both …

This paper addresses the problem of robust stability for quaternion-valued neural networks
(QVNNs) with leakage delay, discrete delay and parameter uncertainties. Based on …

This paper investigates the stability problem for a class of impulsive complex-valued neural
networks with both asynchronous time-varying and continuously distributed delays. By …

The stability analysis of recurrent neural networks (RNNs) with multiple equilibria has
received extensive interest since it is a prerequisite for successful applications of RNNs …

In this paper, we are concerned with the finite-time synchronization for a class of complex-
valued neural networks with time delays. Instead of using some finite-time stability theorems …

In this paper, based on the matrix measure method and the Halanay inequality, global
exponential stability problem is investigated for the complex-valued recurrent neural …