A Physics-Informed Neural Network Approach for Nearfield Acoustic Holography

In this manuscript, we describe a novel methodology for nearfield acoustic holography (NAH). The proposed technique is based on convolutional neural networks, with autoencoder architecture, to reconstruct the pressure and velocity fields on the surface of the vibrating structure using the sampled pr...

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Detalles Bibliográficos
Autores principales: Olivieri, Marco, Pezzoli, Mirco, Antonacci, Fabio, Sarti, Augusto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659974/
https://www.ncbi.nlm.nih.gov/pubmed/34883838
http://dx.doi.org/10.3390/s21237834

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8659974/
https://www.ncbi.nlm.nih.gov/pubmed/34883838
http://dx.doi.org/10.3390/s21237834

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