Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of Incompressible Navier-Stokes Equations Jan 1, 2022· Jan Heiland , Peter Benner , Rezvan Bahmani · 0 min read Cite DOI Type Journal article Publication Frontiers Appl. Math. Stat. Last updated on Jan 1, 2022 ← Convolutional Autoencoders and Clustering for Low-dimensional Parametrization of Incompressible Flows Jan 1, 2022 Identification of Linear Time-Invariant Systems with Dynamic Mode Decomposition Jan 1, 2022 →
