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 …

Abstract Rolling-Element Bearings are extensively used in almost all global industries. Any
critical failures in these vitally important components would not only affect the overall …

Traditionally, analytical equations used in tribo-dynamic modelling, such as those used for
predicting central film thickness within elastohydrodynamic lubricated contacts, have led to …

This paper presents the application of multi-layer artificial neural networks (ANNs) and
backward elimination regression for the prediction of values of the coefficient of friction …

The paper presents a new approach to the classification of rolling element bearing faults by
implementing Artificial Neural Network. Diagnostics of rolling element bearing faults actually …

This paper presents the modelling of wear data resulting from linear dry contact using
artificial neural networks (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) with …

In wear processes, similarly to fabrication processes, very complex and nonlinear
phenomena are involved. Consequently, analytical models are difficult or impossible to …

This paper presents an exhaustive review of ANN training algorithms available in the
literature. Though both classical as well as soft computing based search and optimization …

Digital technologies sustain today’ s world. Every part of the world is working towards
digital technologies, which none of us can eliminate. Enormous growth is achieved only by …

Для моделирования трибологических характеристик ионно-плазменных покрытий
предлагается использовать искусственные нейронные сети. С точки зрения …