Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

This paper presents a comprehensive review of the industrial applications of artificial neural
networks (ANNs), in the last 12 years. Common questions that arise to practitioners and …

In many real-world application, eg, speech recognition or sleep stage classification, data are
captured over the course of time, constituting a Time-Series. Time-Series often contain …

Robot manipulators are playing increasingly significant roles in scientific researches and
engineering applications in recent years. Using manipulators to save labors and increase …

The synergistic use of multiple sensors by machines and systems is a major factor in
enabling some measure of intelligence to be incorporated into their overall operation so that …

This tutorial article deals with the basics of artificial neural networks (ANN) and their
applications in pattern recognition. ANN can be viewed as computing models inspired by the …

This paper presents a new single-layer neural network which is based on orthogonal
functions. This neural network is developed to avoid the problems of traditional feedforward …

This paper discusses stability of neural network (NN)-based control systems using Lyapunov
approach. First, it is pointed out that the dynamics of NN systems can be represented by a …

In this paper, we describe a review concerning the Quantum Computing (QC) and Deep
Learning (DL) areas and their applications in Computational Intelligence (CI). Quantum …

This paper discusses stability analysis of fuzzy-neural-linear (FNL) control systems which
consist of combinations of fuzzy models, neural network (NN) models, and linear models …