Basic hardware comprehension of an artificial neural network (ANN), to a major scale
depends on the proficient realization of a distinct neuron. For hardware execution of NNs …

This special issue explores big data analytics and applications for logistics and supply chain
management by examining novel methods, practices, and opportunities. The articles present …

A real-time nonlinear model predictive control using a self-feedback recurrent fuzzy neural
network (SFRFNN) estimator for an active power filter is developed to improve the …

Basic hardware comprehension of an artificial neural network (ANN), to a major scale
depends on the proficientrealization of a distinctneuron. For hardware execution of NNs …

In this paper, we present a novel classifier based on fuzzy logic and wavelet transformation
in the form of a neural network. This classifier includes a layer to predict the numerical …

The age of online data stream and dynamic environments results in the increasing demand
of advanced machine learning techniques to deal with concept drifts in large data streams …

A robust adaptive control method is proposed in this paper based on recurrent fuzzy wavelet
neural networks (RFWNNs) system for industrial robot manipulators (IRMs) to improve high …

Nowadays, there has been more attention paid to clean energies, especially wind, since
there is a shortage of fossil fuel resources, but there is a decrease in pollutants that result …

This paper presents fuzzy wavelet neural network (FWNN) models for prediction and
identification of nonlinear dynamical systems. The proposed FWNN models are obtained …

In this paper, a fuzzy wavelet neural control scheme with improved prescribed performance
is investigated for micro-electro-mechanical system (MEMS) gyroscope in the presence of …