Robotics & Machine Learning Daily News2024,Issue(Nov.29) :95-95.

Studies from Beihang University Have Provided New Data on Machine Learning (A On e-time Training Machine Learning Method for General Structural Topology Optimiza tion)

北航大学的研究为机器学习提供了新的数据(通用结构拓扑优化的e-time训练机器学习方法)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :95-95.

Studies from Beihang University Have Provided New Data on Machine Learning (A On e-time Training Machine Learning Method for General Structural Topology Optimiza tion)

北航大学的研究为机器学习提供了新的数据(通用结构拓扑优化的e-time训练机器学习方法)

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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-一项关于机器学习的新研究现在可用。根据新闻报道来自中华人民共和国北京,由NewsRx记者报道,研究称,"机器学习(ML)"方法在结构拓扑优化中有着广泛的应用。在现有方法中,然而,当设计领域和支持条件都存在时,需要对ML模型进行重新训练已经改变,对其广泛应用构成了限制。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingfrom Beijing, People’s Republic of China , by NewsRx journalists, research stated, “Machine learning (ML)methods have fo und some applications in structural topology optimization. In the existing metho ds,however, the ML models need to be retrained when the design domains and supp orting conditions havebeen changed, posing a limitation to their wide applicati ons.”

Key words

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

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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