Parsimony as the ultimate regularizer for physics-informed machine learning
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Publication:6117148
DOI10.1007/s11071-021-07118-3zbMath1517.68337OpenAlexW4205319896MaRDI QIDQ6117148
Steven L. Brunton, J. Nathan Kutz
Publication date: 16 August 2023
Published in: Nonlinear Dynamics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s11071-021-07118-3
Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05) Simulation of dynamical systems (37M05) Physics (00A79)
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