Machine Learning Techniques in Structural Wind Engineering: A State-of-the-Art Review

Machine Learning Techniques in Structural Wind Engineering: A State-of-the-Art Review

Machine learning (ML) techniques, which are a subset of artificial intelligence (AI), have played a crucial role across a wide spectrum of disciplines, including engineering, over the last decades. The promise of using ML is due to its ability to learn from given data, identify patterns, and accordi...

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Bibliographic Details
Main Authors: Karim Mostafa, Ioannis Zisis, Mohamed A. Moustafa
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
machine learning
neural networks
wind engineering
wind-induced pressure
aeroelastic response
computational fluid dynamics
Online Access:https://www.mdpi.com/2076-3417/12/10/5232

Internet

https://www.mdpi.com/2076-3417/12/10/5232

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