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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Yi-Ren Wang, Yu-Han Ma
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-08-01
Serie:	Aerospace
Soggetti:	machine learning panel flutter long short-term memory (LSTM)
Accesso online:	https://www.mdpi.com/2226-4310/11/8/677
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!