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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
National Institute for Aerospace Research “Elie Carafoli” - INCAS
2024-12-01
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| Series: | INCAS Bulletin |
| Subjects: | |
| Online Access: | https://bulletin.incas.ro/files/negoita_hothazie__vol_16_iss_4.pdf |
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