New Machine Learning Findings from Inner Mongolia University of Technology Descr ibed (Regression-classification Ensemble Machine Learning Model for Loading Capa city and Bucking Mode Prediction of Cold-formed Steel Built-up I-section Columns )

内蒙古工业大学机器学习的新发现Descr ibed(回归分类集成机器学习模型及冷弯薄壁型钢组合工字柱屈曲模式预测)

Robotics & Machine Learning Daily News2024，Issue(Dec.2) ：54-55.

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New Machine Learning Findings from Inner Mongolia University of Technology Descr ibed (Regression-classification Ensemble Machine Learning Model for Loading Capa city and Bucking Mode Prediction of Cold-formed Steel Built-up I-section Columns )

内蒙古工业大学机器学习的新发现Descr ibed(回归分类集成机器学习模型及冷弯薄壁型钢组合工字柱屈曲模式预测)

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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。根据新闻报道来自内蒙古的《中国人民再公开》，由NewsRx编辑撰写，研究称：“这篇论文提出了负荷能力的分类集成机器学习(ML)模型，并在此基础上，提出了一种基于分类集成机器学习的负荷能力特别是关于冷弯薄壁型钢(CFS)工字形截面柱的屈曲模式预测。ML模型包括两个子模型，包括负荷预测的reg ression子模型和负荷预测的reg ression子模型屈曲模式预测的分类子模型"。

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 reportingout of Inner Mongolia, People’s Re public of China, by NewsRx editors, research stated, “This paperpresents a regr ession-classification ensemble machine learning (ML) model for loading capacity and, inparticular, buckling mode prediction with respect to cold-formed steel ( CFS) I-section columns. The MLmodel comprises two sub-models, including the reg ression sub-model for load capacity prediction and theclassification sub-model for buckling mode prediction.”

Key words

Inner Mongolia/People’s Republic of Chi na/Asia/Cyborgs/Emerging Technologies/Machine Learning/Inner Mongolia Unive rsity of Technology

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出版年

2024

Robotics & Machine Learning Daily News

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