Deep Learning in Multi-step Prediction of Chaotic Dynamics : From Deterministic Models to Real-World Systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso |
Autore | Sangiorgio, Matteo |
Pubbl/distr/stampa | Cham, : Springer, : PoliMI, 2021 |
Descrizione fisica | xii, 104 p. : ill. ; 24 cm |
Altri autori (Persone) |
Dercole, Fabio
Guariso, Giorgio |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 93-XX - Systems theory; control [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] |
Soggetto non controllato |
Chaotic attractors
Environmental variables Exposure bias Henon systems Neural architectures Neural network training Recurrent Neural Networks |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274699 |
Sangiorgio, Matteo | ||
Cham, : Springer, : PoliMI, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Deep Learning in Multi-step Prediction of Chaotic Dynamics : From Deterministic Models to Real-World Systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso |
Autore | Sangiorgio, Matteo |
Pubbl/distr/stampa | Cham, : Springer, : PoliMI, 2021 |
Descrizione fisica | xii, 104 p. : ill. ; 24 cm |
Altri autori (Persone) |
Dercole, Fabio
Guariso, Giorgio |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68T07 - Artificial neural networks and deep learning [MSC 2020] 68Txx - Artificial intelligence [MSC 2020] 93-XX - Systems theory; control [MSC 2020] |
Soggetto non controllato |
Chaotic attractors
Environmental variables Exposure bias Henon systems Neural architectures Neural network training Recurrent Neural Networks |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00274699 |
Sangiorgio, Matteo | ||
Cham, : Springer, : PoliMI, 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|