Synchronization in a network of connected elements is essential to the proper functioning of
both natural and engineered systems and is thus of increasing interest across disciplines. In …

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 …

This paper is concerned with the finite-time synchronization problem for fractional-order
complex dynamical networks (FCDNs) with intermittent control. Using the definition of …

In this paper, a class of complex-valued neural network model with discrete and distributed
delays is proposed. Regarding the discrete time delay as the bifurcating parameter, the …

This paper investigates the stability of impulsive fractional-order complex-valued BAM
neural networks with time varying delays. As the extension of fractional-order real-valued …

In this paper, a new case of neural networks called fractional-order octonion-valued
bidirectional associative memory neural networks (FOOVBAMNNs) is established. First, the …

In this paper, without separating the complex-valued neural networks into two real-valued
systems, the quasi-projective synchronization of fractional-order complex-valued neural …

In this paper, a novel kind of neural networks named fractional-order quaternion-valued
bidirectional associative memory neural networks (FQVBAMNNs) is formulated. On one …

This paper is concerned with the fixed-time synchronization for a class of complex-valued
neural networks in the presence of discontinuous activation functions and parameter …

In this paper, without transforming the quaternion-valued neural networks into two
equivalent complex-valued systems or four equivalent real-valued systems, a novel class of …