Noise-aware physics-informed machine learning for robust PDE discovery

Noise-aware physics-informed machine learning for robust PDE discovery

This work is concerned with discovering the governing partial differential equation (PDE) of a physical system. Existing methods have demonstrated the PDE identification from finite observations but failed to maintain satisfying results against noisy data, partly owing to suboptimal estimated deriva...

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Bibliographic Details
Main Authors: Pongpisit Thanasutives, Takashi Morita, Masayuki Numao, Ken-ichi Fukui
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Machine Learning: Science and Technology
Subjects:
denoising method
machine learning
multi-task learning
partial differential equation
physics-informed neural network
Online Access:https://doi.org/10.1088/2632-2153/acb1f0

Internet

https://doi.org/10.1088/2632-2153/acb1f0

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