Cargando…
Feasibility of Machine Learning Algorithms for Predicting the Deformation of Anodic Titanium Films by Modulating Anodization Processes
This study aims to demonstrate the feasibility of applying eight machine learning algorithms to predict the classification of the surface characteristics of titanium oxide (TiO(2)) nanostructures with different anodization processes. We produced a total of 100 samples, and we assessed changes in TiO...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956670/ https://www.ncbi.nlm.nih.gov/pubmed/33652708 http://dx.doi.org/10.3390/ma14051089 |