Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes

标题
Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes
作者
关键词
Variability propagation, Regression machine-learning models, Circular concrete-filled steel tubes, Support vector machine, Ultimate load
出版物
MEASUREMENT
Volume 176, Issue -, Pages 109198
出版商
Elsevier BV
发表日期
2021-02-26
DOI
10.1016/j.measurement.2021.109198

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started