Application of Artificial Neural Network in Biotribological Research of Dental Glass Ceramic

Autor:	M. Pantić, A. Đorđević, M. Erić, S. Mitrović, M. Babić, D. Džunić, M. Stefanović
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Tribological characteristics Dental glass ceramic Neural networks Mathematical modelling Mechanical engineering and machinery TJ1-1570
Zdroj:	Tribology in Industry, Vol 40, Iss 4, Pp 692-701 (2018)
Druh dokumentu:	article
ISSN:	0354-8996 2217-7965
DOI:	10.24874/ti.2018.40.04.15
Popis:	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 is presented.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/5423075ad9c148888e33714af14d050d Zobrazit plný text záznamu View record in DOAJ