首页|New Machine Learning Study Results Reported from Iowa State University (Field in version machine learning augmented turbulence modeling for time-accurate unstead y flow)
New Machine Learning Study Results Reported from Iowa State University (Field in version machine learning augmented turbulence modeling for time-accurate unstead y flow)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news reporting originating from Ames, I owa, by NewsRx correspondents, research stated, "Field inversion machine learnin g (FIML) has the advantages of model consistency and low data dependency and has been used to augment imperfect turbulence models. However, the solver-intrusive field inversion has a high entry bar, and existing FIML studies focused on impr oving only steady-state or time-averaged periodic flow predictions."Funders for this research include National Science Foundation.
Iowa State UniversityAmesIowaUnite d StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Lea rning
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