Machine Learning Techniques in Predicting Hot Deformation Behavior of Metallic Materials
In engineering practice, it is often necessary to determine functional relationships between dependent and independent variables. These relationships can be highly nonlinear, and classical regression approaches cannot always ... | Find, read and cite all the research you need on Tech Science Press
Authors
- Petr Opěla (ORCID: https://orcid.org/0000-0003-2220-1068)
- Josef Walek (ORCID: https://orcid.org/0000-0002-0416-8228)
- Jaromı́r Kopeček (ORCID: https://orcid.org/0000-0002-9337-4639)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2024-11-07
- DOI
- https://doi.org/10.32604/cmes.2024.055219
- Citations
- 4
- Primary Topic
- Metallurgy and Material Forming
- Type
- article
- Field-Weighted Citation Impact
- 1.08
Funders
- Akademie Věd České Republiky
- Ostravská Univerzita v Ostravě