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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...

Celý popis

Uloženo v:
Hlavní autoři: Guillermo Suarez, Emre Özkaya, Nicolas R. Gauger, Hans-Jörg Steiner, Michael Schäfer, David Naumann
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2024-07-01
Edice:Aerospace
Témata:
artificial neural network
surrogate model
aerodynamics
On-line přístup:https://www.mdpi.com/2226-4310/11/8/607
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