Deep learning in multi-step prediction of chaotic dynamics: from deterministic models to real-world systems
Auteur :
Sangiorgio, Matteo / Dercole, Fabio / Guariso, Giorgio
Éditeur :
Springer Nature Switzerland AG
ISBN :
9783030944810
Date de publication :
15 févr. 2022
Dimensions :
23,5 x 15,5 cm
Langue :
Anglais
Pays d'origine :
Suisse
The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series.