A novel method of low-dimensional representation for temporal behavior of flow fields using deep autoencoder
A method capable of comparing and analyzing the spatio-temporal structures of unsteady flow fields has not yet been established. Temporal analyses of unsteady flow fields are often done after the data of the fields are reduced to low-dimensional quantities such as forces acting on objects. Such an a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2019-01-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/1.5067313 |