Robotics & Machine Learning Daily News2024,Issue(Nov.13) :82-82.

State Key Laboratory Researchers Publish Findings in Machine Learning (Multi-obj ective optimization of three mechanical properties of Mg alloys through machine learning)

国家重点实验室研究人员在机器学习(通过机器学习实现镁合金三种力学性能的多目标优化)中发表了研究成果

Robotics & Machine Learning Daily News2024,Issue(Nov.13) :82-82.

State Key Laboratory Researchers Publish Findings in Machine Learning (Multi-obj ective optimization of three mechanical properties of Mg alloys through machine learning)

国家重点实验室研究人员在机器学习(通过机器学习实现镁合金三种力学性能的多目标优化)中发表了研究成果

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑新闻-研究人员详细介绍了人工智能中的新数据。据国家新闻报道NewsRx Journal Alists的重点实验室,研究称:“通常采用传统的试错法。”镁合金多目标优化既耗时又昂贵。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in artificial intelli gence. According to news reporting from the StateKey Laboratory by NewsRx journ alists, research stated, “Conventional trial-and-error method is usuallytime-co nsuming and expensive for multi-objective optimization of Mg alloys.”

Key words

State Key Laboratory/Algorithms/Alloys/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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