2018
DOI: 10.24874/ti.2018.40.04.15
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 characteris… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
10
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 13 publications
(10 citation statements)
references
References 10 publications
0
10
0
Order By: Relevance
“…A tribological system is a complex nonlinear system, which is composed of elements that are structurally and functionally connected. 19…”
Section: Resultsmentioning
confidence: 99%
“…A tribological system is a complex nonlinear system, which is composed of elements that are structurally and functionally connected. 19…”
Section: Resultsmentioning
confidence: 99%
“…AFM is one of the best techniques used to evaluate the surface topography/morphology of dental materials [35,36]. In this study, based on the obtained AFM topographic images, the roughness parameters of the tested dental ceramics were determined for two different scan sizes.…”
Section: Discussionmentioning
confidence: 99%
“…It has been widely used in a wide variety of scientific areas, including dentistry and medicine. AFM provides 3D scanning of the topography of the contact surfaces of various materials at the micro and nano levels, producing high-resolution 3D pictures of the data [11]. When compared with a traditional profilometer, the resolution of AFM has a higher level of accuracy due to its precise tip and lower loading force [12].…”
Section: Introductionmentioning
confidence: 99%