Robotics & Machine Learning Daily News2024,Issue(Nov.13) :4-5.

Investigators from West Virginia University Have Reported New Data on Machine Le arning (Machine Learning-aided Process Design Using Limited Experimental Data: a Microwave-assisted Ammonia Synthesis Case Study)

西弗吉尼亚大学的研究人员报告了机器学习辅助工艺设计(使用有限实验数据的机器学习辅助工艺设计:微波辅助氨合成案例研究)的新数据

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :4-5.

Investigators from West Virginia University Have Reported New Data on Machine Le arning (Machine Learning-aided Process Design Using Limited Experimental Data: a Microwave-assisted Ammonia Synthesis Case Study)

西弗吉尼亚大学的研究人员报告了机器学习辅助工艺设计(使用有限实验数据的机器学习辅助工艺设计:微波辅助氨合成案例研究)的新数据

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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-关于机器学习的详细数据已经呈现。根据新闻报道在西弗吉尼亚州摩根敦,BY NewsRx的编辑,研究表明,“一个开放的研究问题存在于机械学习(ML)如何加速化工过程设计优化早期实验发展阶段,可用数据有限。作为一个例子,本文研究以46个实验数据为基础,设计了强化微弧辅助氨生产反应器。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Morgantown, West Virginia, b y NewsRx editors, research stated, “An open research question lies inhow machin e learning (ML) can accelerate the design optimization of chemical processes whi ch are at veryearly experimental development stage with limited data availabili ty. As an example, this article investigatesthe design of an intensified microw ave-assisted ammonia production reactor with 46 experimental data.”

Key words

Morgantown/West Virginia/United States/North and Central America/Ammonia/Cyborgs/Emerging Technologies/Machine Le arning/Nitrogen Compounds/West Virginia University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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