首页|University of Florida Reports Findings in Machine Learning (Machine Learning-ena bled Parameterization Scheme for Aerodynamic Shape Optimization of Wind-sensitiv e Structures: A-proof-ofconcept Study)

University of Florida Reports Findings in Machine Learning (Machine Learning-ena bled Parameterization Scheme for Aerodynamic Shape Optimization of Wind-sensitiv e Structures: A-proof-ofconcept Study)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Gainesville, Florid a, by NewsRx correspondents, research stated, “Aerodynamic shapeoptimization is very useful for enhancing the performance of wind-sensitive structures. However , shapeparameterization, as the first step in the pipeline of aerodynamic shape optimization, still heavily dependson empirical judgment.”

GainesvilleFloridaUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniver sity of Florida

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.15)