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首页> 外文期刊>Robotics & Machine Learning Daily News >New Findings from Oak Ridge National Laboratory Describe Advances in Machine Learning (A New Perspective of Post-Weld BakingEffect on Al-Steel Resistance Spot Weld Properties through Machine Learning and Finite Element Modeling)
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New Findings from Oak Ridge National Laboratory Describe Advances in Machine Learning (A New Perspective of Post-Weld BakingEffect on Al-Steel Resistance Spot Weld Properties through Machine Learning and Finite Element Modeling)

机译:New Findings from Oak Ridge National Laboratory Describe Advances in Machine Learning (A New Perspective of Post-Weld BakingEffect on Al-Steel Resistance Spot Weld Properties through Machine Learning and Finite Element Modeling)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligence have been presented. According to news reportingfrom Oak Ridge, Tennessee, by NewsRx journalists, research stated, “The root cause of post-weld bakingon the mechanical performance of Al-steel dissimilar resistance spot welds (RSWs) has been determinedby machine learning (ML) and finite element modeling (FEM) in this study.”

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