Recent Advances and Applications of Machine Learning in Metal Forming Processes-Reference-Cited by-同舟云学术

Recent Advances and Applications of Machine Learning in Metal Forming Processes

Published:2022-08-12 Issue:8 Volume:12 Page:1342
ISSN:2075-4701
Container-title:Metals
language:en
Short-container-title:Metals

Author:

Prates Pedro^ORCID,Pereira André^ORCID

Abstract

Machine Learning (ML) is a subfield of artificial intelligence, focusing on computational algorithms that are designed to learn and improve themselves, without the need to be explicitly programmed [...]

Publisher

MDPI AG

Subject

General Materials Science,Metals and Alloys

Link

https://www.mdpi.com/2075-4701/12/8/1342/pdf

Reference10 articles.

1. Performance Comparison of Parametric and Non-Parametric Regression Models for Uncertainty Analysis of Sheet Metal Forming Processes

2. Machine Learning-Based Models for the Estimation of the Energy Consumption in Metal Forming Processes

3. The Use of Machine-Learning Techniques in Material Constitutive Modelling for Metal Forming Processes

4. Application of Machine Learning to Bending Processes and Material Identification

5. Robust Optimization and Kriging Metamodeling of Deep-Drawing Process to Obtain a Regulation Curve of Blank Holder Force

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