Open AccessOn the benefits and limitations of Echo State Networks for turbulent flow prediction
Author(s) -
Mohammad Sharifi Ghazijahani,
Florian Heyder,
Jöerg Schumacher,
Christian Cierpka
Publication year - 2022
Publication title -
measurement science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.48
H-Index - 136
eISSN - 1361-6501
pISSN - 0957-0233
DOI - 10.1088/1361-6501/ac93a4
Subject(s) - particle image velocimetry , flow (mathematics) , turbulence , vector field , computer science , series (stratigraphy) , algorithm , vortex , statistical physics , mathematics , physics , meteorology , mechanics , geology , paleontology