Neural network-based reduced-order modeling for nonlinear vertical sloshing with experimental validation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Neural network-based reduced-order modeling for nonlinear vertical sloshing with experimental validation ; volume:111 ; number:10 ; day:24 ; month:2 ; year:2023 ; pages:8913-8933 ; date:5.2023
Nonlinear dynamics ; 111, Heft 10 (24.2.2023), 8913-8933, 5.2023
- Urheber
-
Pizzoli, Marco
Saltari, Francesco
Coppotelli, Giuliano
Mastroddi, Franco
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11071-023-08323-y
- URN
-
urn:nbn:de:101:1-2023082121201993329746
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:54 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Pizzoli, Marco
- Saltari, Francesco
- Coppotelli, Giuliano
- Mastroddi, Franco
- SpringerLink (Online service)
Ähnliche Objekte (12)
Nonlinear reduced-order model for vertical sloshing by employing neural networks
Nonlinear Aerodynamic Reduced-Order Modeling Using Neuro-Fuzzy Approaches
Nonlinear reduced-order modelling for limit-cycle oscillation analysis
Efficient POD reduced-order modeling for parametrized nonlinear PDE systems
Ensuring the accuracy of indirect nonlinear dynamic reduced-order models
Stochastic reduced-order models for stable nonlinear ordinary differential equations
Reduced-order and surrogate-modeling techniques for nonlinear large-scale systems
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method
Parametric reduced-order modeling for component-oriented treatment and localized nonlinear feature inclusion
A quadratic decoder approach to nonintrusive reduced‐order modeling of nonlinear dynamical systems
Reduced-order modeling techniques for aerodynamic applications
Minimum reduced-order models via causal inference
Nonlinear reduced-order model for vertical sloshing by employing neural networks
Nonlinear Aerodynamic Reduced-Order Modeling Using Neuro-Fuzzy Approaches
Nonlinear reduced-order modelling for limit-cycle oscillation analysis
Efficient POD reduced-order modeling for parametrized nonlinear PDE systems
Ensuring the accuracy of indirect nonlinear dynamic reduced-order models
Stochastic reduced-order models for stable nonlinear ordinary differential equations
Reduced-order and surrogate-modeling techniques for nonlinear large-scale systems
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method
Parametric reduced-order modeling for component-oriented treatment and localized nonlinear feature inclusion
A quadratic decoder approach to nonintrusive reduced‐order modeling of nonlinear dynamical systems
Reduced-order modeling techniques for aerodynamic applications
Minimum reduced-order models via causal inference
Nonlinear reduced-order model for vertical sloshing by employing neural networks
Nonlinear Aerodynamic Reduced-Order Modeling Using Neuro-Fuzzy Approaches
Nonlinear reduced-order modelling for limit-cycle oscillation analysis
Efficient POD reduced-order modeling for parametrized nonlinear PDE systems
Ensuring the accuracy of indirect nonlinear dynamic reduced-order models
Stochastic reduced-order models for stable nonlinear ordinary differential equations
Reduced-order and surrogate-modeling techniques for nonlinear large-scale systems
Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method
Parametric reduced-order modeling for component-oriented treatment and localized nonlinear feature inclusion
A quadratic decoder approach to nonintrusive reduced‐order modeling of nonlinear dynamical systems
Reduced-order modeling techniques for aerodynamic applications