首页|Reports Outline Machine Learning Study Results from Nanjing University of Scienc e and Technology (Detection of the Irrotational Boundary Using Machine Learning Methods)
Reports Outline Machine Learning Study Results from Nanjing University of Scienc e and Technology (Detection of the Irrotational Boundary Using Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating from Nanjing, Pe ople’s Republic of China, by NewsRx correspondents, researchstated, “Four machi ne learning methods, i.e., self-organizing map (SOM), Gaussian mixture model (GMM), eXtreme gradient boosting (XGBoost), and contrastive learning (CL), are used to detect the irrotationalboundary (IB), which represents the outer edge of th e turbulent and non-turbulent interface layer. Toaccurately evaluate the detect ion methods, high-resolution databases from direct numerical simulationsof a te mporally evolving turbulent plane jet are used.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanjing University of Scien ce and Technology
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