Physics-Informed Neural Networks for Modal Wave Field Predictions in 3D Room Acoustics
The generalization of Physics-Informed Neural Networks (PINNs) used to solve the inhomogeneous Helmholtz equation in a simplified three-dimensional room is investigated. PINNs are appealing since they can efficiently integrate a partial differential equation and experimental data by minimizing a los...
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/15/2/939 |
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