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)
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-调查人员发布马学习新报告。根据新闻报道在摩洛哥的梅克内斯，NewsRx Ed Itors的研究表明，“这项研究工作的目的是发展一种基于机器学习的交互参数全局估计的稳健方法，适用于离散单元法(DEM)在粒状材料研究中的应用。具体目标包括建立微观参数与宏观参数相互作用的理论框架对不同材料p进行了DEM模拟参数；开发基于机器学习的全局参数估计模型；以及合并获得GIV EN材料和行为微观参数的方法。
Abstract
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.”
Key words
Meknes/Morocco/Africa/Cyborgs/Emergi ng Technologies/Machine Learning/Moulay Ismail University
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