Robotics & Machine Learning Daily News2024,Issue(MAY.1) :73-74.

Investigators from Chongqing University of Technology Target Machine Learning (D etecting the Large-scale Wall-attached Structural Inclination Angles By a Machin e Learning Perspective In Turbulent Boundary Layer)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :73-74.

Investigators from Chongqing University of Technology Target Machine Learning (D etecting the Large-scale Wall-attached Structural Inclination Angles By a Machin e Learning Perspective In Turbulent Boundary Layer)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromChongqing, People’s Republic of Chi na, by NewsRx journalists, research stated, “With the recent advancesin machine learning, strategies based on data can be used to augment wall modeling in the turbulentboundarylayer. Combined with the attached eddy hypothesis, the present work applies extreme gradientboosting (XGBoost) to predict the large-scalewall -attached structures at a range of wall-normal locationsbased on a near-wall re ference position (z®(+)approximate to 4) spanning a Reynolds-numberrange Re-ssi milar to O(10(3))-O(10(5)).”

Key words

Chongqing/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning/Chongqing University of T echnology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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