Synthesis of recurrent neural networks for dynamical system simulation

17 Dec 2015Adam TrischlerGabriele 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 algorithm is based on an earlier theoretical result that guarantees the quality of the network approximation... (read more)

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