On the adaptation of recurrent neural networks for system identification

Marco Forgione, Aneri Muni, Dario Piga +1

This paper presents a transfer learning approach which enables fast and efficient adaptation of Recurrent Neural Network (RNN) models of dynamical systems. A nominal RNN model is f…