New Machine Learning Findings from University of Freiburg Described (Introducing New Morphometric Parameters To ImproveUrban Canopy Air Flow Modeling: a Cfd To Machine-learning Study In Real Urban Environments)
New Machine Learning Findings from University of Freiburg Described (Introducing New Morphometric Parameters To ImproveUrban Canopy Air Flow Modeling: a Cfd To Machine-learning Study In Real Urban Environments)
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 Freiburg, Ge rmany, by NewsRx correspondents, research stated, “This studyproposes a machine learning (ML) framework generating spatially-distributed mean wind fields at a givenheight above ground within arbitrary urban canopy geometries. The framewor k is based on the RandomForest formulation and is trained using building resolv ing large-eddy simulations of flow over a range ofrealistic urban environments. ”
Key words
Freiburg/Germany/Europe/Cyborgs/Emer ging Technologies/Machine Learning/University of Freiburg
NETL
NSTL