AUTHOR=Argatov Ivan TITLE=Artificial Neural Networks (ANNs) as a Novel Modeling Technique in Tribology JOURNAL=Frontiers in Mechanical Engineering VOLUME=5 YEAR=2019 URL=https://www.frontiersin.org/journals/mechanical-engineering/articles/10.3389/fmech.2019.00030 DOI=10.3389/fmech.2019.00030 ISSN=2297-3079 ABSTRACT=

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.