Application of Deep Learning Models to Predict Panel Flutter in Aerospace Structures
This study investigates the application of deep learning models—specifically Deep Neural Networks (DNN), Long Short-Term Memory (LSTM), and Long Short-Term Memory Neural Networks (LSTM-NN)—to predict panel flutter in aerospace structures. The goal is to improve the accuracy and efficiency of predict...
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| Główni autorzy: | , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2024-08-01
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| Seria: | Aerospace |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2226-4310/11/8/677 |
| Etykiety: |
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