首页|Harvard University Reports Findings in Machine Learning (A Machine Learning Pers pective On the Inverse Indentation Problem: Uniqueness, Surrogate Modeling, and Learning Elasto-plastic Properties From Pile-up)
Harvard University Reports Findings in Machine Learning (A Machine Learning Pers pective On the Inverse Indentation Problem: Uniqueness, Surrogate Modeling, and Learning Elasto-plastic Properties From Pile-up)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on Machine Learn ing. According to news originating from Cambridge,Massachusetts, by NewsRx corr espondents, research stated, “The inverse analysis of indentationcurves, aimed at extracting the stress-strain curve of a material, has been under intense deve lopmentfor decades, with progress relying mainly on the use of analytical expre ssions derived from small datasets. Here, we take a fresh, data-driven perspect ive to this classic problem, leveraging machine learningtechniques to advance i ndentation technology.”
CambridgeMassachusettsUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningHa rvard University
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