Metallurgist, volume 67, issue 5-6, pages 886-894

Artificial Intelligence and Machine Learning in Metallurgy. Part 1. Methods and Algorithms

Publication type: Journal Article
Publication date: 2023-09-01
Journal: Metallurgist
scimago Q3
wos Q4
SJR: 0.236
CiteScore: 1.5
Impact factor: 0.8
ISSN: 00260894, 15738892
Materials Chemistry
Metals and Alloys
Condensed Matter Physics
Mechanics of Materials
Abstract
The article contains information about machine learning methods used in modern metallurgy. The description of machine learning methods and their role in the processing of “big data” formed at metallurgical enterprises are given. The topic relevance has to do with the effectiveness of solving problems aimed at improving production processes using artificial intelligence and machine learning in various metallurgical processing stages.
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