Research Data from University of Science and Technology Beijing Update Understan ding of Machine Learning (Prediction and Interpretation of Concrete Corrosion In duced By Carbon Dioxide Using Machine Learning)

北京科技大学最新研究数据(基于机器学习的二氧化碳腐蚀预测与解释)

Robotics & Machine Learning Daily News2024，Issue(Jul.1) ：33-34.

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Research Data from University of Science and Technology Beijing Update Understan ding of Machine Learning (Prediction and Interpretation of Concrete Corrosion In duced By Carbon Dioxide Using Machine Learning)

北京科技大学最新研究数据(基于机器学习的二氧化碳腐蚀预测与解释)

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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-关于机器学习的详细数据已经呈现。根据NewsRx编辑在中国北京的新闻报道，研究表明：“研究了含有富含Ca、Si、Al、Fe和Mg氧化物的固体废物(矿渣和粉煤灰)混凝土的CO 2腐蚀。本工作共收集1700多个样品，每个样品有29个特征数据点。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Beijing, People’s Republic o f China, by NewsRx editors, research stated, “The CO 2 -induced corrosion of con crete containing solid waste materials (slag and fly ash) rich in Ca, Si, Al, Fe , and Mg oxides is investigated. In this work, more than 1700 samples are extrac ted, each accompanied by 29 feature data points.”

Key words

Beijing/People's Republic of China/Asi a/Carbon Dioxide/Chemicals/Cyborgs/Emerging Technologies/Machine Learning/University of Science and Technology Beijing

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出版年

2024

Robotics & Machine Learning Daily News

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