Robotics & Machine Learning Daily News2024,Issue(Jul.2) :29-30.

Studies from Shenyang Jianzhu University in the Area of Machine Learning Describ ed (Prediction of Non-uniform Shrinkage of Steelconcrete Composite Slabs Based On Explainable Ensemble Machine Learning Model)

沈阳建筑大学在机器学习领域的研究(基于可解释集成机器学习模型的钢-混凝土组合楼板非均匀收缩预测)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :29-30.

Studies from Shenyang Jianzhu University in the Area of Machine Learning Describ ed (Prediction of Non-uniform Shrinkage of Steelconcrete Composite Slabs Based On Explainable Ensemble Machine Learning Model)

沈阳建筑大学在机器学习领域的研究(基于可解释集成机器学习模型的钢-混凝土组合楼板非均匀收缩预测)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据NewsRx记者在沈阳的新闻报道,研究表明:“ST EL-混凝土组合楼板的非均匀收缩(NUS)对组合楼板的长期性能有显著影响,但由于材料组成和边界条件的多因素耦合机制,目前还没有可靠的分析方法。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from Shenyang, People’s Republic of China , by NewsRx journalists, research stated, “The non-uniform shrinkage (NUS) of st eel-concrete composite slabs has been proved to significantly affect the long-te rm performance of composite slabs. But the reliable analysis method has not yet been proposed due to the multi-factor coupling mechanism of material composition and boundary conditions.”

Key words

Shenyang/People's Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Shenyang Jianzhu Universit y

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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