首页|Reports from Sorbonne University Add New Data to Findings in Machine Learning (Space-dependent Turbulence Model Aggregation Using Machine Learning)
Reports from Sorbonne University Add New Data to Findings in Machine Learning (Space-dependent Turbulence Model Aggregation Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Paris, France, by NewsRx correspondents, research stated, “Computational models of fluidflows based on the Reynolds-Averaged Navier-Stokes (RANS) equations supplemented with a turbulencemodel are the gold standard in engineering applications. A plethora of turbulence models and relatedvariants exist, none of which are fully reliable outside the range of flow configurations for which they werecalibrated.”
ParisFranceEuropeCyborgsEmerging TechnologiesEngineeringMachine LearningSorbonne University
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