Nonlinear Surrogate Model Design for Aerodynamic Dataset Generation Based on Artificial Neural Networks

In this work we construct a surrogate model using artificial neural networks (ANN) to predict the steady-state behavior of an unmanned combat aircraft. We employ various strategies to improve the model’s accuracy, including the consideration of design tolerances, creating independent surrogate model...

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Detalhes bibliográficos

Principais autores:	Guillermo Suarez, Emre Özkaya, Nicolas R. Gauger, Hans-Jörg Steiner, Michael Schäfer, David Naumann
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-07-01
coleção:	Aerospace
Assuntos:	artificial neural network surrogate model aerodynamics
Acesso em linha:	https://www.mdpi.com/2226-4310/11/8/607
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