Studies from Southeast University Reveal New Findings on Machine Learning (Nonli near Unsteady Aerodynamic Forces Prediction and Aeroelastic Analysis of Wind-ind uced Bridge Response At Multiple Wind Speeds: a Deep Learning-based Reduced-orde r ...)

Robotics & Machine Learning Daily News2024，Issue(Nov.6) ：38-39.

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Studies from Southeast University Reveal New Findings on Machine Learning (Nonli near Unsteady Aerodynamic Forces Prediction and Aeroelastic Analysis of Wind-ind uced Bridge Response At Multiple Wind Speeds: a Deep Learning-based Reduced-orde r ...)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report.According to news originating from Nanjing, Peopl e’s Republic of China, by NewsRx correspondents, research stated, “Machine learn ing-based aerodynamic reduced-order models (ROMs) combine high accuracy with ext remely low computational costs, making them highly effective in predicting nonli near and unsteady bridge aerodynamic forces.Although several machine learning-b ased nonlinear aerodynamic models have been developed, the majority are built on a single wind speed parameter.”

Key words

Nanjing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Southeast University

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出版年

2024

Robotics & Machine Learning Daily News

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