Work

Machine Learning Techniques in Predicting Hot Deformation Behavior of Metallic Materials

Year: 2024

Type: article

Abstract: 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

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2024.055219

Authors: Petr Opěla, Josef Walek, Jaromír Kopeček

Institutions: VSB - Technical University of Ostrava, FZU - Institute of Physics of the Czech Academy of Sciences

Language: English

Topic: Metallurgy and Material Forming

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funders: Akademie Věd České Republiky, Ostravská Univerzita v Ostravě

OpenAlex ID: W4404149114