Robotics & Machine Learning Daily News2024,Issue(Nov.29) :123-124.

Reports from University College Dublin Add New Data to Findings in Machine Learn ing (Accelerated Segregated Finite Volume Solvers for Linear Elastostatics Using Machine Learning)

都柏林大学学院的报告为机器学习(使用机器学习的线性弹性静力学加速分离有限体积求解器)的发现增加了新的数据

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :123-124.

Reports from University College Dublin Add New Data to Findings in Machine Learn ing (Accelerated Segregated Finite Volume Solvers for Linear Elastostatics Using Machine Learning)

都柏林大学学院的报告为机器学习(使用机器学习的线性弹性静力学加速分离有限体积求解器)的发现增加了新的数据

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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-调查人员讨论机器学习的新发现。根据新闻报道NewsRx Jo Urnalists在爱尔兰都柏林发表的研究报告称:“隔离解算法在全球范围内广泛应用。”用于求解有限体积连续介质力学问题。计算的一个主要贡献者这种方法的时间要求是实现收敛所需的大量外部干扰。这项研究的财政支持者包括爱尔兰科学研究委员会工程和技术,爱尔兰科学基金会(SFI),欧盟(EU),i-form工业伙伴,科学爱尔兰基金会(SFI)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Dublin, Ireland, by NewsRx jo urnalists, research stated, “The segregated solution algorithm is widelyused fo r solving finite volume continuum mechanics problems. One major contributor to t he computationaltime requirement of this approach is the high number of outer i terations needed to achieve convergence.”Financial supporters for this research include Irish Research Council for Scienc e, Engineering andTechnology, Science Foundation Ireland (SFI), European Union (EU), I-Form industry partners, ScienceFoundation Ireland (SFI).

Key words

Dublin/Ireland/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/University College Dublin

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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