Robotics & Machine Learning Daily News2024,Issue(Nov.28) :73-73.

Findings from Tsinghua University Reveals New Findings on Machine Learning (Pred iction of Load-deformation Relations for Cfdst Columns Through Machine Learning Methods)

清华大学的发现揭示了机器的新发现钢管混凝土荷载-变形关系的学习(预测)通过机器学习方法

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :73-73.

Findings from Tsinghua University Reveals New Findings on Machine Learning (Pred iction of Load-deformation Relations for Cfdst Columns Through Machine Learning Methods)

清华大学的发现揭示了机器的新发现钢管混凝土荷载-变形关系的学习(预测)通过机器学习方法

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习的新报告。根据新闻报道在中华人民共和国北京,由NewsRx记者报道,研究称:“这项研究探索了(CFDST)双层钢管混凝土轴压柱荷载-分布关系压缩,利用机器学习预测技术。通告综合数据库钢管混凝土柱是根据以前的文献组装的,包括它们的荷载-变形关系数据。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Beijing, People’s Republic of C hina, by NewsRx journalists, research stated, “This study exploresthe load-defo rmation relations of concrete-filled double-skin steel tubular (CFDST) columns u nder axialcompression, utilizing the machine learning predictive techniques. A comprehensive database of the circularCFDST columns was assembled from previous literature, including their load-deformation relationship data.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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