首页|State University of New York - Stony Brook University Researcher Discusses Findi ngs in Machine Learning (Toward ultra-efficient high-fidelity predictions of win d turbine wakes: Augmenting the accuracy of engineering models with machine lear ning)
State University of New York - Stony Brook University Researcher Discusses Findi ngs in Machine Learning (Toward ultra-efficient high-fidelity predictions of win d turbine wakes: Augmenting the accuracy of engineering models with machine lear ning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on ar tificial intelligence. According to news reportingoriginating from Stony Brook, New York, by NewsRx correspondents, research stated, “This study proposesa nov el machine learning (ML) methodology for the efficient and cost-effective predic tion of high-fidelitythree-dimensional velocity fields in the wake of utility-s cale turbines.”Funders for this research include Water Power Technologies Office; National Scie nce Foundation;National Offshore Wind Research And Development Consortium.
State University of New York - Stony Bro ok UniversityStonyBrookNew YorkUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesEngineeringMachine Learning
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