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Deep Learning in Multi-step Prediction of Chaotic Dynamics:..
PoliMI SpringerBriefs
Sangiorgio, Matteo
;
Dercole, Fabio
;
Guariso, Giorgio
- 1st ed. 2021 . , 2021
Link:
https://doi.org/10.1007/978-3-030-94482-7
RT T1
Deep Learning in Multi-step Prediction of Chaotic Dynamics: From Deterministic Models to Real-World Systems
UL https://suche.suub.uni-bremen.de/peid=springer-978-3-030-94482-7&Exemplar=1&LAN=DE A1 Sangiorgio, Matteo A1 Dercole, Fabio A1 Guariso, Giorgio NO 1st ed. 2021 PB Springer International Publishing YR 2021 NO 1 Online-Ressource (104 S.) T3 PoliMI SpringerBriefs SN 9783030944827 SN 9783030944810 SN 9783030944834 K1 Neural networks (Computer science) K1 Computational intelligence K1 Artificial intelligence K1 System theory K1 Mathematical Models of Cognitive Processes and Neural Networks K1 Computational Intelligence K1 Artificial Intelligence K1 Complex Systems LK http://dx.doi.org/https://doi.org/10.1007/978-3-030-94482-7 DO https://doi.org/10.1007/978-3-030-94482-7 SF ELIB - SuUB Bremen
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