Synthesis of recurrent neural networks for dynamical system simulation

Adam Trischler, Gabriele MT D'Eleuterio

We review several of the most widely used techniques for training recurrent neural networks to approximate dynamical systems, then describe a novel algorithm for this task. The alg…