Robotics & Machine Learning Daily News2024,Issue(Jul.1) :53-53.

Findings from Imperial College London in Machine Learning Reported (Exploring Un seen 3d Scenarios of Physics Variables Using Machine Learning-based Synthetic Da ta: an Application To Wave Energy Converters)

伦敦帝国理工学院在机器学习方面的发现报告(使用基于机器学习的合成Da ta探索物理变量的未见三维场景:应用于波能转换器)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :53-53.

Findings from Imperial College London in Machine Learning Reported (Exploring Un seen 3d Scenarios of Physics Variables Using Machine Learning-based Synthetic Da ta: an Application To Wave Energy Converters)

伦敦帝国理工学院在机器学习方面的发现报告(使用基于机器学习的合成Da ta探索物理变量的未见三维场景:应用于波能转换器)

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。据NewsRx记者从英国伦敦发回的新闻报道,研究称:“这项工作使用机器学习,从基于计算流体力学模型的耗时的3D模拟中产生波能转换器的合成数据。分析这些系统对入射波响应的模拟时间很长,获得的计算成本也很高。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from London, United Kingd om, by NewsRx correspondents, research stated, “This work uses machine learning to produce synthetic data of wave energy converters from time-expensive 3D simul ations based on computational fluid dynamics models. The simulations to analyse the response of these systems to incoming waves are lengthy and computationally expensive to obtain.”

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning/Imperial College London

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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