Open AccessFeature extraction of fields of fluid dynamics data using sparse convolutional autoencoder
Author(s) -
Wataru Obayashi,
Hikaru Aono,
Tomoaki Tatsukawa,
Kozo Fujii
Publication year - 2021
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0065637
Subject(s) - autoencoder , convolutional neural network , computer science , algorithm , pattern recognition (psychology) , convolution (computer science) , flow (mathematics) , field (mathematics) , deep learning , feature (linguistics) , feature extraction , nonlinear system , artificial intelligence , artificial neural network , mathematics , physics , geometry , linguistics , philosophy , quantum mechanics , pure mathematics
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