A Machine Learning-Based Approach for Predicting Aerodynamic Coefficients Using Deep Neural Networks and CFD Data

A Machine Learning-Based Approach for Predicting Aerodynamic Coefficients Using Deep Neural Networks and CFD Data

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly being adopted across various fields, including aerodynamics, exhibiting impressive results in complex computational processes and improving prediction accuracy. This study introduces a novel method for airfoil performance assess...

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Bibliographic Details
Main Authors: Mara-Florina NEGOITA, Mihai-Vladut HOTHAZIE
Format: Article
Language:English
Published: National Institute for Aerospace Research “Elie Carafoli” - INCAS 2024-12-01
Series:INCAS Bulletin
Subjects:
artificial neural network
machine learning
computational fluid dynamics
automation
aerodynamic coefficients
Online Access:https://bulletin.incas.ro/files/negoita_hothazie__vol_16_iss_4.pdf
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