Pages that link to "Item:Q137310"
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The following pages link to Discovering governing equations from data by sparse identification of nonlinear dynamical systems (Q137310):
Displaying 18 items.
- Approximation identification for the stochastic time-delayed dynamical system (Q6638497) (← links)
- SDYN-GANs: adversarial learning methods for multistep generative models for general order stochastic dynamics (Q6639347) (← links)
- Learning macroscopic equations of motion from dissipative particle dynamics simulations of fluids (Q6641917) (← links)
- KAN-ODEs: Kolmogorov-Arnold network ordinary differential equations for learning dynamical systems and hidden physics (Q6641934) (← links)
- GFN: a graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications (Q6643617) (← links)
- Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery (Q6645130) (← links)
- Data-driven safe control via finite-time Koopman identifier (Q6645993) (← links)
- Sparse space-time resolvent analysis for statistically stationary and time-varying flows (Q6647834) (← links)
- Neural dynamical operator: continuous spatial-temporal model with gradient-based and derivative-free optimization methods (Q6648386) (← links)
- Data-driven variational method for discrepancy modeling: dynamics with small-strain nonlinear elasticity and viscoelasticity (Q6648552) (← links)
- Accurate data-driven surrogates of dynamical systems for forward propagation of uncertainty (Q6648584) (← links)
- Nonlinear system identification via sparse Bayesian regression based on collaborative neurodynamic optimization (Q6654611) (← links)
- Robust fault estimators for nonlinear systems: an ultra-local model design (Q6659197) (← links)
- Six decades of the FitzHugh-Nagumo model: a guide through its spatio-temporal dynamics and influence across disciplines (Q6661833) (← links)
- System stabilization with policy optimization on unstable latent manifolds (Q6663289) (← links)
- Model predictive complex system control from observational and interventional data (Q6663643) (← links)
- Parameter inference from a non-stationary unknown process (Q6663676) (← links)
- Combining physics-informed graph neural network and finite difference for solving forward and inverse spatiotemporal PDEs (Q6671950) (← links)
