Robotics & Machine Learning Daily News2024,Issue(Dec.9) :112-112.

Data from Southwest Jiaotong University Provide New Insights into Machine Learni ng (Searching optimal process parameters for desired layer geometry in wire-lase r directed energy deposition based on machine learning)

Robotics & Machine Learning Daily News2024,Issue(Dec.9) :112-112.

Data from Southwest Jiaotong University Provide New Insights into Machine Learni ng (Searching optimal process parameters for desired layer geometry in wire-lase r directed energy deposition based on machine learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on artificial intell igence have been published. According to newsreporting originating from Chengdu , People’s Republic of China, by NewsRx correspondents, researchstated, “The qu antitative prediction of more process parameter variables for fewer layer geomet ry variablesis challenging in wire-laser DED.”

Key words

Southwest Jiaotong University/Chengdu/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learni ng

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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