Discovering governing partial differential equations from noisy data
Author:
Publisher
Elsevier BV
Subject
Computer Science Applications,General Chemical Engineering
Reference13 articles.
1. Automated reverse engineering of nonlinear dynamical systems;Bongard;Proc. Natl. Acad. Sci.,2007
2. DeepMoD: Deep learning for model discovery in noisy data;Both;J. Comput. Phys.,2021
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4. Machine learning of partial differential equations from noise data;Cao,2020
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1. A hierarchical Bayesian network-based semi-mechanistic model for handling data variabilities in dynamical process systems;Computers & Chemical Engineering;2024-06
2. Physics-informed and data-driven discovery of governing equations for complex phenomena in heterogeneous media;Physical Review E;2024-04-04
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