Robotics & Machine Learning Daily News2024,Issue(Jun.12) :16-17.

New Machine Learning Findings from Texas A&M University Described ( Ultimate Shear Strength Prediction for Slender Reinforced Concrete Beams Without Transverse Reinforcement Using Machine Learning Approach)

描述了德州农工大学机器学习的新发现(使用机器学习方法预测无横向钢筋混凝土细长梁的极限抗剪强度)

Robotics & Machine Learning Daily News2024,Issue(Jun.12) :16-17.

New Machine Learning Findings from Texas A&M University Described ( Ultimate Shear Strength Prediction for Slender Reinforced Concrete Beams Without Transverse Reinforcement Using Machine Learning Approach)

描述了德州农工大学机器学习的新发现(使用机器学习方法预测无横向钢筋混凝土细长梁的极限抗剪强度)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据Ne wsRx记者从德克萨斯州布莱恩发回的新闻报道,研究表明:“最近,机器学习(ML)算法被广泛应用于解决结构工程领域的难题,利用ML算法(implemented)的借用特征,提出了一种解决混凝土结构中最棘手问题之一——剪切的方法。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Bryan, Texas, by Ne wsRx correspondents, research stated, “A great deal of attention has been applie d recently to machine learning (ML) algorithms to solve difficult engineering pr oblems in the field of structural engineering. Using borrowed features of ML alg orithms (implemented), a solution to one of the most troublesome problems in con crete structures-namely, shear-is proposed.”

Key words

Bryan/Texas/United States/North and Central America/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Texas A&M University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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