Artificial neural network applied on sintered BaTiO3-ceramic density

Artificial neural network applied on sintered BaTiO3-ceramic density

It is very important to determine microstructure parameters of consolidated ceramic samples, because it opens new frontiers for further microelectronics miniaturization and integrations. Therefore, controlling, predicting and designing the ceramic materials’ properties are the objectives in...

Full description

Bibliographic Details
Main Authors: Ranđelović Branislav M., Ribar Srđan, Mitić Vojislav V., Marković Bojana, Fecht Hans, Vlahović Branislav
Format: Article
Language:English
Published: International Institute for the Science of Sintering, Beograd 2022-01-01
Series:Science of Sintering
Subjects:
neural network
ceramics materials
sintering
density
error
Online Access:http://www.doiserbia.nb.rs/img/doi/0350-820X/2022/0350-820X2204425R.pdf

Internet

http://www.doiserbia.nb.rs/img/doi/0350-820X/2022/0350-820X2204425R.pdf

Similar Items