Open AccessA novel method of low-dimensional representation for temporal behavior of flow fields using deep autoencoder
Author(s) -
Noriyasu Omata,
Susumu Shirayama
Publication year - 2019
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.5067313
Subject(s) - flow (mathematics) , autoencoder , airfoil , representation (politics) , computer science , field (mathematics) , algorithm , trajectory , reynolds number , nonlinear system , deep learning , artificial intelligence , mathematics , physics , mechanics , geometry , turbulence , quantum mechanics , astronomy , politics , political science , pure mathematics , law
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