Artificial Neural Networks (ANNs) as a Novel Modeling Technique in Tribology

In the present paper, artificial neural networks (ANNs) are considered from a mathematical modeling point of view. A short introduction to feedforward neural networks is outlined, including multilayer perceptrons (MLPs) and radial basis function (RBF) networks. Examples of their applications in trib...

Full description

Saved in:
Bibliographic Details
Published inFrontiers in mechanical engineering Vol. 5
Main Author Argatov, Ivan
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 29.05.2019
Subjects
artificial neural network
data-driven modeling
fretting
tribological properties
wear
Online AccessGet full text
ISSN2297-3079
2297-3079
DOI10.3389/fmech.2019.00030

Cover

More Information
Summary:In the present paper, artificial neural networks (ANNs) are considered from a mathematical modeling point of view. A short introduction to feedforward neural networks is outlined, including multilayer perceptrons (MLPs) and radial basis function (RBF) networks. Examples of their applications in tribological studies are given, and important features of the data-driven modeling paradigm are discussed.
ISSN:2297-3079
2297-3079
DOI:10.3389/fmech.2019.00030