首页|Study Results from National Center for Scientific Research (CNRS) in the Area of Machine Learning Reported (Unsupervised Machine Learning Classification for Acc elerating Fe2 Multiscale Fracture Simulations)
Study Results from National Center for Scientific Research (CNRS) in the Area of Machine Learning Reported (Unsupervised Machine Learning Classification for Acc elerating Fe2 Multiscale Fracture Simulations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating from Marne la Vallee, France , by NewsRx correspondents, research stated, “An approachis proposed to acceler ate multiscale simulations of heterogeneous quasi-brittle materials exhibiting a nanisotropic damage response. The present technique uses unsupervised machine l earning classificationbased on k-means clustering to select integration points in the macro mesh within an FE2 2 strategyto track redundant micro nonlinear pr oblems and to avoid unnecessary Representative Volume Element(RVE) calculations .”
Marne la ValleeFranceEuropeCyborgsEmerging TechnologiesMachine LearningNational Center for Scientific Resear ch (CNRS)
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