Robotics & Machine Learning Daily News2024,Issue(Jun.27) :125-125.

New Machine Learning Study Findings Have Been Reported from RWTH Aachen Universi ty (Development of a Machine Learningbased Design Optimization Method for Crash worthiness Analysis)

亚琛大学(基于机器学习的耐撞性分析设计优化方法的开发)报告了新的机器学习研究结果

Robotics & Machine Learning Daily News2024,Issue(Jun.27) :125-125.

New Machine Learning Study Findings Have Been Reported from RWTH Aachen Universi ty (Development of a Machine Learningbased Design Optimization Method for Crash worthiness Analysis)

亚琛大学(基于机器学习的耐撞性分析设计优化方法的开发)报告了新的机器学习研究结果

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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。根据NewsRx记者从Aachen,Ge Rmany发布的新闻报道,Research称:“本文使用机器学习(ML)研究了汽车领域的优化。研究了轴向冲击下薄壁CRA SH箱,并优化了前碰撞试验的设计参数。”这项研究的财政支持来自德国研究基金会(DFG)。

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 reporting originating from Aachen, Ge rmany, by NewsRx correspondents, research stated, “THIS ARTICLE INVESTIGATES OPT IMISATION in the automotive field using machine learning (ML). A thin-walled cra sh box under axial impact is studied and the design parameters are optimised for front-impact crash tests.” Financial support for this research came from German Research Foundation (DFG).

Key words

Aachen/Germany/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/RWTH Aachen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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