Recurrent Neural Networks as Optimal Mesh Refinement Strategies

Jan Bohn, Michael Feischl

We show that an optimal finite element mesh refinement algorithm for a prototypical elliptic PDE can be learned by a recurrent neural network with a fixed number of trainable param…