Robotics & Machine Learning Daily News2024,Issue(Jun.27) :140-141.

New Findings from Warsaw University of Technology Update Understanding of Machin e Learning (Predicting Detonation Cell Size of Biogas-oxygen Mixtures Using Mach ine Learning Models)

华沙理工大学的新发现更新了对Machin e学习的理解(使用machine学习模型预测沼气-氧气混合物的爆轰室大小)

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :140-141.

New Findings from Warsaw University of Technology Update Understanding of Machin e Learning (Predicting Detonation Cell Size of Biogas-oxygen Mixtures Using Mach ine Learning Models)

华沙理工大学的新发现更新了对Machin e学习的理解(使用machine学习模型预测沼气-氧气混合物的爆轰室大小)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-一项关于机器学习的新研究现在已经可用。根据NewsRx编辑在波兰华沙的新闻报道,研究表明,“爆震室尺寸是描述爆震过程的一个非常重要的参数,既用于爆炸安全分析,也用于爆震燃烧室的设计。通常情况下,这两种选择要么是实验研究,要么是通过CFD模拟;这两种选择在金钱和时间上都很昂贵。”这项研究的财政支持来自Politechnika Warszawska。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting out of Warsaw, Poland, by NewsRx editors , research stated, “Detonation cell size is a very important parameter describin g the detonation process, used both for explosion safety analysis and for the de sign of detonation combustion chambers. Typically it has been studied either exp erimentally or by CFD simulations; both options are costly in terms of money and time.” Financial support for this research came from Politechnika Warszawska.

Key words

Warsaw/Poland/Europe/Chalcogens/Cybo rgs/Emerging Technologies/Machine Learning/Support Vector Regression/Warsaw 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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