Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …

This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …

Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …

In this paper, the problems of stability and Hopf bifurcation in a class of fractional-order
complex-valued single neuron model with time delay are addressed. With the help of the …

The task of MRI fingerprinting is to identify tissue parameters from complex-valued MRI
signals. The prevalent approach is dictionary based, where a test MRI signal is compared to …

This paper deals with the problem of synchronization of fractional-order complex-valued
neural networks with time delays. By means of linear delay feedback control and a fractional …

The use of complex numbers in neural networks is as natural as their use in other
engineering areas and in mathematics. The history of complex numbers shows that although …

This article mainly dedicates on the issue of finite-time stabilization of complex-valued
neural networks with proportional delays and inertial terms via directly constructing …

This article mainly focuses on the problem of synchronization in finite and fixed time for fully
complex-variable delayed neural networks involving discontinuous activations and time …

This paper mainly deals with the problem of exponential and adaptive synchronization for a
type of inertial complex-valued neural networks via directly constructing Lyapunov …