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Deep Learning in Multi-step Prediction of Chaotic Dynamics

Fabio Dercole , Giorgio Guariso , Matteo Sangiorgio

The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series. Differently from most of the current literature, it implements a multi-step approach, i.e., the forecast of an entire interval of future...