Nonlinear System Identification : from Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes / Oliver Nelles
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| Autore: |
Nelles, Oliver
|
| Titolo: |
Nonlinear System Identification : from Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes / Oliver Nelles
|
| Pubblicazione: | Cham, : Springer, 2020 |
| Titolo uniforme: | Nonlinear System Identification : From Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes |
| Edizione: | 2. ed |
| Descrizione fisica: | xxviii, 1225 p. : ill. ; 24 cm |
| Soggetto topico: | 93Cxx - Model systems in control theory [MSC 2020] |
| 93B30 - System identification [MSC 2020] | |
| 93-XX - Systems theory; control [MSC 2020] | |
| 93B20 - Minimal systems representations [MSC 2020] | |
| Soggetto non controllato: | Complexity |
| Fuzzy and neuro-fuzzy models | |
| Identification of dynamic systems | |
| Linear and nonlinear dynamic system identification | |
| Linear optimization | |
| Local model networks HILOMOT | |
| Long short-term memory (LSTM) networks | |
| Nonlinear finite impulse response (NFIR) | |
| Nonlinear local optimization | |
| Titolo autorizzato: | Nonlinear System Identification : from Classical Approaches to Neural Networks, Fuzzy Models, and Gaussian Processes |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN0229434 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | http://doi.org/10.1007/978-3-030-47439-3 |
| Opac: | Controlla la disponibilità qui |