Robotics & Machine Learning Daily News2024,Issue(Jul.3) :29-30.

Findings from Polytechnic University Torino Update Knowledge of Machine Learning (Review On Machine Learning Techniques for the Assessment of the Fatigue Respon se of Additively Manufactured Metal Parts)

都灵理工大学的发现更新了机器学习的知识(机器学习技术用于评估加成型金属零件疲劳响应的综述)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :29-30.

Findings from Polytechnic University Torino Update Knowledge of Machine Learning (Review On Machine Learning Techniques for the Assessment of the Fatigue Respon se of Additively Manufactured Metal Parts)

都灵理工大学的发现更新了机器学习的知识(机器学习技术用于评估加成型金属零件疲劳响应的综述)

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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。据新sRx通讯员从意大利都灵发来的消息称,“本文旨在系统地收集、分类和分析该领域的相关研究论文,讨论机器学习(ML)算法在加成型(AM)合金疲劳响应评估中的应用。”

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 Turin, Italy, by New sRx correspondents, research stated, “The present review paper addresses the inc reasing interest in the application of machine learning (ML) algorithms in the a ssessment of the fatigue response of additively manufactured (AM) metal alloys. This review aims to systematically collect, categorize, and analyze relevant res earch papers in this domain.”

Key words

Turin/Italy/Europe/Cyborgs/Emerging Technologies/Machine Learning/Polytechnic University Torino

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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