Robotics & Machine Learning Daily News2024,Issue(Dec.6) :88-88.

New Machine Learning Study Results from Gdansk University of Technology Describe d (Active Learning On Stacked Machine Learning Techniques for Predicting Compres sive Strength of Alkaliactivated Ultra-high-performance Concrete)

格但斯克理工大学新的机器学习研究结果描述了d(预测碱激活超高性能混凝土综合强度的堆叠机器学习技术的主动学习)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :88-88.

New Machine Learning Study Results from Gdansk University of Technology Describe d (Active Learning On Stacked Machine Learning Techniques for Predicting Compres sive Strength of Alkaliactivated Ultra-high-performance Concrete)

格但斯克理工大学新的机器学习研究结果描述了d(预测碱激活超高性能混凝土综合强度的堆叠机器学习技术的主动学习)

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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-研究人员详细介绍机器学习中的新数据。根据消息来源来自波兰格但斯克的NewsRx Correspo Ndents的研究报告称,“常规超高性能”混凝土(UHPC)ha具有良好的发展潜力。然而,产生了大量的二氧化碳这与目前世界范围内的下降趋势相反排放和节约能源,从而限制UHPC的进一步发展。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Researchers detail new data in Machine Learning. According to news originatingfrom Gdansk, Poland, by NewsRx correspo ndents, research stated, “Conventional ultra-high performanceconcrete (UHPC) ha s excellent development potential. However, a significant quantity of CO2 is pro ducedthroughout the cement-making process, which is in contrary to the current worldwide trend of loweringemissions and conserving energy, thus restricting th e further advancement of UHPC.”

Key words

Gdansk/Poland/Europe/Cyborgs/Emergin g Technologies/Machine Learning/Gdansk University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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