首页|New Data from Moulay Ismail University Illuminate Findings in Machine Learning ( Development of a Methodology for Prediction and Calibration of Parameters of Dem Simulations Based On Machine Learning)
New Data from Moulay Ismail University Illuminate Findings in Machine Learning ( Development of a Methodology for Prediction and Calibration of Parameters of Dem Simulations Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reportingout of Meknes, Morocco, by NewsRx ed itors, research stated, “This research work aims to developa robust methodology for the global estimation of interaction parameters based on machine learning,applicable to the discrete element method (DEM) in the study of granular materia ls. The specific objectivesinclude establishing a theoretical framework that re lates the interaction micro-parameters with the macroparametersand the physica l behaviour of the material; performing DEM simulations for different material parameters; developing a machine learning-based model for global parameter estima tion; and consolidatingthe methodology for obtaining micro-parameters for a giv en material and behaviour.”
MeknesMoroccoAfricaCyborgsEmergi ng TechnologiesMachine LearningMoulay Ismail University
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