Learning normal form autoencoders for data-driven discovery of universal, parameter-dependent governing equations

Manu Kalia
, Steven L. Brunton
, Hil G.E. Meijer
, Christoph Brune
, J. Nathan Kutz

Applied Analysis

Research output: Working paper

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Normal Form Autoencoder, data associated with the publication: ‘Learning normal form autoencoders for data-driven discovery of universal, parameter-dependent governing equations’.
Kalia, M. (Creator), Meijer, H. (Creator), Brunton, S. L. (Creator), Kutz, J. N. (Creator) & Brune, C. (Creator), 4TU.Centre for Research Data, 18 Jun 2021
DOI: 10.4121/14790657, https://data.4tu.nl/articles/_/14790657 and one more link, https://data.4tu.nl/articles/_/14790657/1 (show fewer)
Dataset
Normal Form Autoencoder, data associated with the publication: ‘Learning normal form autoencoders for data-driven discovery of universal, parameter-dependent governing equations’
Kalia, M. (Creator), Meijer, H. G. E. (Creator), Brunton, S. L. (Creator), Kutz, J. N. (Creator) & Brune, C. (Creator), 4TU.Centre for Research Data, 18 Jun 2021
Dataset