Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars

Title
Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars
Authors
Keywords
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Journal
Applied Sciences-Basel
Volume 12, Issue 10, Pages 4851
Publisher
MDPI AG
Online
2022-05-11
DOI
10.3390/app12104851

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