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Showing 20 of 1,254 academic articles

Neural Networks in Chemistry

Johann Gasteiger, Jure Zupan • Angewandte Chemie International Edition in English (1993)

Abstract The capabilities of the human brain have always fascinated scientists and led them to investigate its inner workings. Over the past 50 years a number of models have been developed which have attempted to replicate the brain's vario...

OPENALEX DOI: https://doi.org/10.1002/anie.199305031

Evolving artificial neural networks

Xin Yao • Proceedings of the IEEE (1999)

Learning and evolution are two fundamental forms of adaptation. There has been a great interest in combining learning and evolution with artificial neural networks (ANNs) in recent years. This paper: 1) reviews different combinations betwee...

OPENALEX DOI: https://doi.org/10.1109/5.784219

neuralnet: Training of Neural Networks

Frauke Günther, Stefan Gerd Fritsch • The R Journal (2010)

Artificial neural networks are applied in many situations.neuralnet is built to train multi-layer perceptrons in the context of regression analyses, i.e. to approximate functional relationships between covariates and response variables.Thus...

OPENALEX Open Access DOI: https://doi.org/10.32614/rj-2010-006

Elements of Artificial Neural Networks

Kishan G. Mehrotra, Chilukuri Krishna Mohan, Sanjay Ranka • The MIT Press eBooks (1996)

Elements of Artificial Neural Networks provides a clearly organized general introduction, focusing on a broad range of algorithms, for students and others who want to use neural networks rather than simply study them. The authors, who have ...

OPENALEX DOI: https://doi.org/10.7551/mitpress/2687.001.0001

A Complex Network Epidemiological Approach for Infectious Disease Spread Control with Time-Varying Connections

Alma Y. Alanis, Gustavo Munoz-Gomez, Nancy F. Ramirez, Oscar D. Sanchez et al. • Algorithms (2024)

This work introduces an impulsive neural control algorithm designed to mitigate the spread of epidemic diseases. The objective of this paper is the development of a vaccination strategy based on a PIN-type impulsive controller based on an o...

DOAJ Open Access (DOAJ) DOI: 10.3390/a17120577

Artificial Neural Networks

Hojjat Adeli, Xiaomo Jiang • CRC Press eBooks (2008)

An artificial neural network (ANN) is a functional abstraction of the biologic neural structures of the central nervous system (Aleksander and Morton 1993; Rudomin et al. 1993; Arbib 1995; Anderson 1995). It is essentially a simple mathemat...

OPENALEX DOI: https://doi.org/10.1201/9781482281767-9

Tailoring Mission Effectiveness and Efficiency of a Ground Vehicle Using Exergy-Based Model Predictive Control (MPC)

Robert Jane, Tae Young Kim, Emily Glass, Emilee Mossman et al. • Energies (2021)

To ensure dominance over a multi-domain battlespace, energy and power utilization must be accurately characterized for the dissimilar operational conditions. Using MATLAB/Simulink in combination with multiple neural networks, we created a m...

DOAJ Open Access (DOAJ) DOI: 10.3390/en14196049

A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks

Maria Grazia Puxeddu, Maria Grazia Puxeddu, Manuela Petti, Manuela Petti et al. • Frontiers in Systems Neuroscience (2021)

Modular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning. Moreover, brain networks are intrinsically multilayer since their attributes can vary across...

DOAJ Open Access (DOAJ) DOI: 10.3389/fnsys.2021.624183

Dynamic Elliptical Shaping Control for Swarm Robots

Shae T. Hart, Jake Kamenetsky, Christopher A. Kitts • IEEE Access (2023)

Solving the robotic swarm coverage problem for an elliptical area has various applications for exploring novel environments. Solutions for this problem should cover a specified ellipse and seamlessly adapt to changing numbers of robots. Pre...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3244911

Application of Artificial Neural Networks for Corrosion Behavior of Ni–Zn Electrophosphate Coating on Galvanized Steel and Gene Expression Programming Models

Malihe Zeraati, Hossein Abbasi, Parvin Ghaffarzadeh, Narendra Pal Singh Chauhan et al. • Frontiers in Materials (2022)

Zn–Ni electrophosphate coating is one of the most commonly used materials in industrial applications. The corrosion resistance of this coating is very important in order to achieve the minimum corrosion current of the Zn–Ni electrophosphate...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmats.2022.823155

Fundamentals of Artificial Neural Networks

Mohamad H. Hassoun • Proceedings of the IEEE (1996)

From the Publisher: As book review editor of the IEEE Transactions on Neural Networks, Mohamad Hassoun has had the opportunity to assess the multitude of books on artificial neural networks that have appeared in recent years. Now, in Funda...

OPENALEX DOI: https://doi.org/10.1109/jproc.1996.503146

Neural Network Learning

Martin Anthony, Peter L. Bartlett • Cambridge University Press eBooks (1999)

First published in 1999, this book describes theoretical advances in the study of artificial neural networks. It explores probabilistic models of supervised learning problems, and addresses the key statistical and computational questions. R...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511624216

An Introduction to Neural Networks

James A. Anderson • The MIT Press eBooks (1995)

An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science and neuroscience students who need to understand brain funct...

OPENALEX DOI: https://doi.org/10.7551/mitpress/3905.001.0001