Robotics & Machine Learning Daily News2024,Issue(Jun.3) :17-18.

Findings from New York University (NYU) Broaden Understanding of Machine Learnin g (Using Machine Learning To Predict Axial Pile Capacity)

纽约大学(NYU)的发现拓宽了机器学习的理解(使用机器学习预测轴向桩承载力)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :17-18.

Findings from New York University (NYU) Broaden Understanding of Machine Learnin g (Using Machine Learning To Predict Axial Pile Capacity)

纽约大学(NYU)的发现拓宽了机器学习的理解(使用机器学习预测轴向桩承载力)

扫码查看

摘要

由一名新闻记者兼机器人与机器学习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已经可用。根据纽约布鲁克林的新闻报道,NewsRx Journ Alists的研究表明,“准确估计桩的极限轴向承载能力对于确保支撑结构的安全和防止成本超支是必要的。传统的基于力学的设计方法并不总是准确或精确地预测桩的承载能力,从而留下了改进的空间。”本研究的经费来自设计建设研究院的基础上。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Brooklyn, New York, by NewsRx journ alists, research stated, “Accurate estimation of the ultimate axial load bearing capacity of piles is necessary to ensure the safety of the supported structures and to prevent cost overruns. Traditional mechanics-based design methods do not always predict pile capacity accurately, or precisely, leaving room for improve ment.” Financial support for this research came from Institute of Design and Constructi on Foundation.

Key words

Brooklyn/New York/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/New York University (NYU)

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文