Robotics & Machine Learning Daily News2024,Issue(Jun.18) :57-58.

Reports Summarize Machine Learning Study Results from Hebei University of Techno logy [Experimental and Numerical Investigation Integrated wit h Machine Learning (ML) for the Prediction Strategy of DP590/CFRP Composite Lami nates]

综述了河北工业大学机器学习研究成果[结合机器学习(ML)的DP590/CFRP复合材料层状结构预测策略的实验与数值研究]

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :57-58.

Reports Summarize Machine Learning Study Results from Hebei University of Techno logy [Experimental and Numerical Investigation Integrated wit h Machine Learning (ML) for the Prediction Strategy of DP590/CFRP Composite Lami nates]

综述了河北工业大学机器学习研究成果[结合机器学习(ML)的DP590/CFRP复合材料层状结构预测策略的实验与数值研究]

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摘要

由一名新闻记者-机器人与机器学习每日新闻编辑-调查人员讨论人工智能的新发现。根据NewsRx记者从中华人民共和国天津发回的新闻报道,研究表明:“本研究揭示了一种机器学习(ML)辅助框架,旨在优化碳纤维增强聚合物(CFRP)/金属复合材料层合板的组装顺序和取向,旨在提高其在准静态载荷条件下的力学性能。”天津市高等教育委员会科技发展基金是本研究的资金来源。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in artificial intelligence. According to news reporting originating from Tianjin, P eople's Republic of China, by NewsRx correspondents, research stated, "This stud y unveils a machine learning (ML)-assisted framework designed to optimize the st acking sequence and orientation of carbon fiber-reinforced polymer (CFRP)/metal composite laminates, aiming to enhance their mechanical properties under quasi-s tatic loading conditions." Financial supporters for this research include Science & Technolog y Development Fund of Tianjin Education Commission For Higher Education.

Key words

Hebei University of Technology/Tianjin/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learn ing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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