Model-free prediction of spatiotemporal dynamical systems with recurrent neural networks: Role of network spectral radius

This work reports on the emergence of an interval in the spectral radius of the neural network in which the prediction error is minimized. The phenomenon can be beneficial to the design of optimal reservoir computing, representing a step forward in understanding these machine-learning systems.