Convolutional Autoencoders and Clustering for Low-dimensional Parametrization 
of Incompressible Flows

Heiland, Jan; Kim, Yongho

doi:10.1016/j.ifacol.2022.11.091

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Convolutional Autoencoders and Clustering for Low-dimensional Parametrization of Incompressible Flows

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Heiland, Jan
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
OVGU;

Kim, Yongho
Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
OVGU;

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Citation

Heiland, J., & Kim, Y. (2022). Convolutional Autoencoders and Clustering for Low-dimensional Parametrization of Incompressible Flows. IFAC-PapersOnLine, 55(30), 430-435.

Cite as: https://hdl.handle.net/21.11116/0000-000B-9F9A-5

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