Robotics & Machine Learning Daily News2024,Issue(Aug.16) :54-55.

Data on Machine Learning Discussed by Researchers at Tsinghua University (Transf erable Machine Learning Model for the Aerodynamic Prediction of Swept Wings)

Robotics & Machine Learning Daily News2024,Issue(Aug.16) :54-55.

Data on Machine Learning Discussed by Researchers at Tsinghua University (Transf erable Machine Learning Model for the Aerodynamic Prediction of Swept Wings)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Beijing, People’s Republic of China, by NewsRx journalists, research stated, “With their development,machine learning models can be used instead of computational fluid dynamics simulations to predict flowfields in aerodynamic optimization. However, it is difficult to construct a prediction model for swept wingswith various planform geometries b ecause too many samples are required to cover the parameter space.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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