Robotics & Machine Learning Daily News2024,Issue(Aug.2) :29-30.

Reports from Southwest Jiaotong University Describe Recent Advances in Machine L earning (Machine Learning Based Prediction Models for Uniaxial Ratchetting of Ex truded Az31 Magnesium Alloy)

Robotics & Machine Learning Daily News2024,Issue(Aug.2) :29-30.

Reports from Southwest Jiaotong University Describe Recent Advances in Machine L earning (Machine Learning Based Prediction Models for Uniaxial Ratchetting of Ex truded Az31 Magnesium Alloy)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Chengdu, People’s R epublic of China, by NewsRx correspondents, research stated, “Thedetrimental ef fect of ratchetting on the fatigue life of materials requires precise prediction models toguarantee the safety of engineering structures. This study focuses on predicting the uniaxial ratchetting ofextruded AZ31 magnesium (Mg) alloy using machine learning (ML) based approaches.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Engineering/Light Metals/Machine Learning/Magnesium/Southwest Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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