Robotics & Machine Learning Daily News2024,Issue(Nov.14) :86-87.

Study Results from Hefei University of Technology in the Area of Machine Learnin g Reported (An Interpretable Machine Learningbased Optimization Framework for t he Optimal Design of Carbon Dioxide To Methane Process)

合肥工业大学在机器学习领域的研究成果(基于可解释性机器学习的二氧化碳制甲烷工艺优化设计框架)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :86-87.

Study Results from Hefei University of Technology in the Area of Machine Learnin g Reported (An Interpretable Machine Learningbased Optimization Framework for t he Optimal Design of Carbon Dioxide To Methane Process)

合肥工业大学在机器学习领域的研究成果(基于可解释性机器学习的二氧化碳制甲烷工艺优化设计框架)

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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-关于机器学习的最新研究结果已经发表。据新闻报道NewsRx编辑从中国人民日报合肥报道,研究称,“转变”二氧化碳转化为甲烷被广泛认为是解决这一难题的有效途径气候变化和碳排放造成的。但是,这个过程非常复杂,而且容易受到影响对多种影响因素进行优化和确定同时尝试和错误的方法"。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting out of Hefei, People’s Repu blic of China, by NewsRx editors, research stated, “The conversionof carbon dio xide into methane is widely recognized as an effective approach to address the c hallengescaused by climate change and carbon emissions. However, this process i s highly intricate and susceptibleto multiple influencing factors, making it ch allenging to optimize and determine through conventionaltrial-and-error methods simultaneously.”

Key words

Hefei/People’s Republic of China/Asia/Alkanes/Anions/Carbon Dioxide/Chemicals/Cyborgs/Emerging Technologies/Ino rganic Carbon Compounds/Machine Learning/Methane/Oxides/Hefei University of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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