Gaussian-Based Machine Learning Algorithm for the Design and Characterization of a Porous Meta-Material for Acoustic Applications

Gaussian-Based Machine Learning Algorithm for the Design and Characterization of a Porous Meta-Material for Acoustic Applications

The scope of this work is to consolidate research dealing with the vibroacoustics of periodic media. This investigation aims at developing and validating tools for the design and characterization of global vibroacoustic treatments based on foam cores with embedded periodic patterns, which allow pass...

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Bibliographic Details
Main Authors: Alessandro Casaburo, Dario Magliacano, Giuseppe Petrone, Francesco Franco, Sergio De Rosa
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
Gaussian process
machine learning
artificial intelligence
porous foam
equivalent fluid
meta-material
Online Access:https://www.mdpi.com/2076-3417/12/1/333

Internet

https://www.mdpi.com/2076-3417/12/1/333

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