Deep learning in multi-step prediction of chaotic dynamics : from deterministic models to real-world systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso.
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 values. This is relevant for man...
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