Robotics & Machine Learning Daily News2024,Issue(Nov.26) :81-82.

Central South University Researcher Illuminates Research in Machine Learning (Ma chine Learning Driven Fluidity and Rheological Properties Prediction of Fresh Ce ment-Based Materials)

中南大学研究员阐明了机器学习的研究(Ma Chine Learning驱动的新鲜Ce Ment基材料流动性和流变性能预测)

Robotics & Machine Learning Daily News2024,Issue(Nov.26) :81-82.

Central South University Researcher Illuminates Research in Machine Learning (Ma chine Learning Driven Fluidity and Rheological Properties Prediction of Fresh Ce ment-Based Materials)

中南大学研究员阐明了机器学习的研究(Ma Chine Learning驱动的新鲜Ce Ment基材料流动性和流变性能预测)

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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-调查人员发布关于人工智能的新报告。根据消息来源《新闻周刊》编辑在中国人民代表大会长沙发表的这份研究报告称,“控制”水泥基材料配合比设计阶段的工作性是一个非常耗时和劳动密集型任务"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news originatingfrom Changsha, People’s Rep ublic of China, by NewsRx editors, the research stated, “Controllingworkability during the design stage of cement-based material mix ratios is a highly time-co nsuming andlabor-intensive task.”

Key words

Central South University/Changsha/Peop le’s Republic of China/Asia/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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