首页|Study Data from Fraunhofer Institute of Mechanical Materials Update Understandin g of Machine Learning (Machine Learning-based Sampling of Virtual Experiments Wi thin the Full Stress State)
Study Data from Fraunhofer Institute of Mechanical Materials Update Understandin g of Machine Learning (Machine Learning-based Sampling of Virtual Experiments Wi thin the Full Stress State)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Freiburg, Ger many, by NewsRx journalists, research stated, “This paper presentsa new machine learning-based approach to investigate anisotropic yield surfaces of sheet meta ls by meansof virtual experiments. The new sampling approach is based on the ma chine learning technique known asactive learning, which has been adapted to eff iciently sample virtual experiments with respect to the fullstress state in ord er to identify parameters of anisotropic yield functions.”
FreiburgGermanyEuropeCyborgsEmer ging TechnologiesMachine LearningFraunhofer Institute of Mechanical Materials
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