Recurrent neural networks

Reduced-order modeling of advection-dominatedsystems with recurrent neural networks andconvolutional autoencoders

A common strategy for the dimensionality reduction of nonlinear partial dif-ferential equations relies on the use of the proper orthogonal decomposition(POD) to identify a reduced subspace and the Galerkin projection for evolv-ing dynamics in this …