Robotics & Machine Learning Daily News2024,Issue(Nov.28) :181-181.

Researchers at Southeast University Report New Data on Machine Learning (Neighbo rhood Component Analysis-based Feature Selection In Machine Learning To Predict Tendon Ultimate Stress of Unbonded Prestressed Concrete Beams)

东南大学的研究人员报告了机器的新数据基于学习(rohood Component analysis)的特征选择肌腱极限应力的机器学习预测无粘结预应力混凝土梁

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :181-181.

Researchers at Southeast University Report New Data on Machine Learning (Neighbo rhood Component Analysis-based Feature Selection In Machine Learning To Predict Tendon Ultimate Stress of Unbonded Prestressed Concrete Beams)

东南大学的研究人员报告了机器的新数据基于学习(rohood Component analysis)的特征选择肌腱极限应力的机器学习预测无粘结预应力混凝土梁

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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-机器学习的最新研究结果已经发表。根据《来自南京的新闻》,由NewsRx记者报道,研究称,预应力混凝土梁构件g筋极限应力的精确估算各种结构参数的影响在建筑工程中具有实际意义。现有的设计规范中的方法往往依赖于简单的经验公式,经常准确地适用代表不同条件下的结果。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Nanjing, People’s Re public of China, by NewsRx correspondents, research stated,“Precisely estimatin g tendon ultimate stress in prestressed concrete beam members while accounting f orthe impact of various structural parameters holds practical significance in S tructural Engineering. Existingapproaches in design codes often rely on simplif ied empirical formulas, frequently falling in accuratelyrepresenting outcomes a cross diverse conditions.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Southeast University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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