학술논문

Steelmaking Predictive Analytics Based on Random Forest and Semantic Reasoning.
Document Type
Article
Source
Applied Sciences (2076-3417); Dec2023, Vol. 13 Issue 23, p12778, 19p
Subject
MACHINE learning
RANDOM forest algorithms
KNOWLEDGE graphs
STEEL manufacture
SEMANTIC Web
RDF (Document markup language)
Language
ISSN
20763417
Abstract
Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)