Robotics & Machine Learning Daily News2024,Issue(Jul.15) :3-3.

Study Results from Chinese Academy of Sciences Provide New Insights into Machine Learning (Machine Learning-enabled Prediction of High-temperature Oxidation Res istance for Ni-based Alloys)

Robotics & Machine Learning Daily News2024,Issue(Jul.15) :3-3.

Study Results from Chinese Academy of Sciences Provide New Insights into Machine Learning (Machine Learning-enabled Prediction of High-temperature Oxidation Res istance for Ni-based Alloys)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Zhejiang, People’s Rep ublic of China, by NewsRx correspondents, research stated, “Amachine learning ( ML) model was developed to predict the oxidation resistance, with the natural lo garithmof the parabolic rate constant (ln k p ) as the output.”

Key words

Zhejiang/People’s Republic of China/As ia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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