Robotics & Machine Learning Daily News2024,Issue(Nov.27) :31-31.

Beijing Jiaotong University Researchers Further Understanding of Machine Learnin g (Optimized Machine Learning Algorithms for Predicting the Punching Shear Resis tance of Flat Slabs with Transverse Reinforcement)

北京交通大学研究员对机器学习(预测横向配筋平板冲切承载力的优化机器学习算法)的进一步认识

Robotics & Machine Learning Daily News2024,Issue(Nov.27) :31-31.

Beijing Jiaotong University Researchers Further Understanding of Machine Learnin g (Optimized Machine Learning Algorithms for Predicting the Punching Shear Resis tance of Flat Slabs with Transverse Reinforcement)

北京交通大学研究员对机器学习(预测横向配筋平板冲切承载力的优化机器学习算法)的进一步认识

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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新闻-人工智能的新研究是一份新报告的主题。根据新闻报道由NewsRx编辑在北京交通大学发表的研究报告中指出:“在钢筋混凝土结构的计算中”钢筋混凝土(RC)板带横向配筋,其抗冲切性能是其关键之一因素。的确,设计条款可能会被实施,但它们往往会导致重大偏差和偏离预期"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on artificial intelligence is the su bject of a new report. According to news reportingout of Beijing Jiaotong Unive rsity by NewsRx editors, research stated, “In the calculation of reinforcedconc rete (RC) flat slabs with transverse reinforcement, punching shear resistance is one of the most criticalfactors. It is true that design provisions may be impl emented, but they often result in significant biasesand deviations from expecta tions.”

Key words

Beijing Jiaotong University/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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