Robotics & Machine Learning Daily News2024,Issue(Dec.4) :59-60.

Studies from Shanghai University of Engineering Science Yield New Data on Machin e Learning (Comparative Study On the Prediction of the Unconfined Compressive St rength of the One-part Geopolymer Stabilized Soil By Using Different Hybrid Mach ine …)

上海工程大学的研究为机械学习提供了新的数据(不同混合机械预测单组分地质聚合物稳定土无侧限抗压强度的比较研究…)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :59-60.

Studies from Shanghai University of Engineering Science Yield New Data on Machin e Learning (Comparative Study On the Prediction of the Unconfined Compressive St rength of the One-part Geopolymer Stabilized Soil By Using Different Hybrid Mach ine …)

上海工程大学的研究为机械学习提供了新的数据(不同混合机械预测单组分地质聚合物稳定土无侧限抗压强度的比较研究…)

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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-机器学习的新数据在一份新的报告中呈现。据新闻报道由NewsRx记者报道,来自中国人民日报上海,研究称,“与”绿色、低碳、可持续经济体系的发展与高污染问题建筑材料能耗日益突出。本研究重点采用单组分(OPG)地质聚合物进行地下工程土体稳定的研究,取得了良好的效果环境和低车的良好优势。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsoriginating from Shanghai, People’s Re public of China, by NewsRx correspondents, research stated, “Withthe developmen t of green, low-carbon, and sustainable economic systems, the issues of high pol lutionand energy consumption in construction materials have become increasingly prominent. This study focuseson adopting one-part geopolymer (OPG) in soil sta bilization for underground engineering, which exhibitsenvironmental and low-car bon advantages.”

Key words

Shanghai/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Engineering/Machine Learning/Shanghai Univ ersity of Engineering Science

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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