Published 2024
| Version v3
Journal article
Open
Convolutional Autoencoders, Clustering, and POD for Low-dimensional Parametrization of Flow Equations [source codes]
Description
This is a repository of the source code for the paper:
Jan Heiland and Yongho Kim (2024) Convolutional Autoencoders, Clustering, and POD for Low-dimensional Parametrization of Flow Equations, Computers & Mathematics with Applications, vol.175, pp.49-61, doi:10.1016/j.camwa.2024.08.032
Notes
Due to the large file size, the pretrained model files are not included. For training tasks, we recommend using GPUs.
Files
icae.zip
Files
(1.2 GB)
| Name | Size | Download all |
|---|---|---|
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md5:af04ae510fc5d972a59e8fdc950fa841
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Additional details
Software
- Programming language
- Python