Multi-Fidelity Aerodynamic Data Fusion with a Deep Neural Network Modeling Method

To generate more high-quality aerodynamic data using the information provided by different fidelity data, where low-fidelity aerodynamic data provides the trend information and high-fidelity aerodynamic data provides value information, we applied a deep neural network (DNN) algorithm to fuse the inf...

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Detalles Bibliográficos
Autores principales: He, Lei, Qian, Weiqi, Zhao, Tun, Wang, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597116/
https://www.ncbi.nlm.nih.gov/pubmed/33286791
http://dx.doi.org/10.3390/e22091022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7597116/
https://www.ncbi.nlm.nih.gov/pubmed/33286791
http://dx.doi.org/10.3390/e22091022

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