Application of artificial neural network in biotribological research of dental glass ceramic

Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/8481

Title:	Application of artificial neural network in biotribological research of dental glass ceramic
Authors:	Pantić, Marko Dordević A. Erić, Milan Mitrovic, Slobodan Babic, Miroslav Dzunic, Dragan Stefanovic, Miladin
Issue Date:	2018
Abstract:	© 2018 Published by Faculty of Engineering. A tribological system is a complex non-linear system composed of the elements that are connected structurally and functionally. The aim of this paper is to present an overview of artificial neural networks, its development and applications of neural networks in the prediction of tribological properties of dental glass ceramic using a newly measured ball-on-plate nanotribometer. The possibility of artificial neural networks application to solve complex nonlinear problems and to identify tribological characteristics of dental glass ceramic in terms of wear rate and coefficient of friction are presented in this paper.
URI:	https://scidar.kg.ac.rs/handle/123456789/8481
Type:	article
DOI:	10.24874/ti.2018.40.04.15
ISSN:	0354-8996
SCOPUS:	2-s2.0-85060167581
Appears in Collections:	Faculty of Engineering, Kragujevac