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

Sign languages are critical in conveying meaning by the use of a visual-manual modality
and are the primary means of communication of the deaf and hard of hearing with their …

Microsoft Kinect, a low-cost motion sensing device, enables users to interact with computers
or game consoles naturally through gestures and spoken commands without any other …

The Sylvester equation is often encountered in mathematics and control theory. For the
general time-invariant Sylvester equation problem, which is defined in the domain of …

For solving complex-valued linear matrix equations with time-varying coefficients (CV-LME-
TVC) in the complex field, this article proposes a parameter-changing and complex-valued …

The dynamics of complex-valued fractional-order neuronal networks are investigated,
focusing on stability, instability and Hopf bifurcations. Sufficient conditions for the asymptotic …

This paper proposes two complex-valued zeroing neural network (Cv-ZNN) models for
solving dynamic complex time-variant linear equations. The models involve two complex …

In this paper, we present a complex-valued neuro-fuzzy inference system (CNFIS) and
develop its meta-cognitive learning algorithm. CNFIS has four layers–an input layer with m …

As an effective tool for solving dynamic complex value problems, especially dynamic
complex value matrix inversion (DCVMI), the complex value zeroing neural network …

There are two equivalent methods for dealing with the nonlinearity of complex-valued
problems. The first method is to handle the real part and imaginary part of complex inputs …