首页|Studies from University of New Hampshire Add New Findings in the Area of Machine Learning (Identification of Yld2000-2d Anisotropic Yield Function Parameters Fr om Single Hole Expansion Test Using Machine Learning)
Studies from University of New Hampshire Add New Findings in the Area of Machine Learning (Identification of Yld2000-2d Anisotropic Yield Function Parameters Fr om Single Hole Expansion Test Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Durham, New Hampshire, by NewsRx correspondents, research stated, “Thisstudy presents a nov el machine learning approach for predicting the anisotropic parameters of the Yld2000-2d-2d non-quadratic yield function using a hole expansion test.”
DurhamNew HampshireUnited StatesNo rth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUnive rsity of New Hampshire
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