Pages that link to "Item:Q2088784"
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The following pages link to Learning Hamiltonians of constrained mechanical systems (Q2088784):
Displaying 9 items.
- Sympnets: intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems (Q2057752) (← links)
- Variational learning of Euler-Lagrange dynamics from data (Q2095136) (← links)
- Pseudo-Hamiltonian neural networks with state-dependent external forces (Q2688092) (← links)
- Artificial Intelligence and Soft Computing - ICAISC 2004 (Q4666374) (← links)
- A Model-Constrained Tangent Slope Learning Approach for Dynamical Systems (Q5880418) (← links)
- Learning port-Hamiltonian systems -- algorithms (Q6039148) (← links)
- Pseudo-Hamiltonian neural networks for learning partial differential equations (Q6119277) (← links)
- Dynamical Systems–Based Neural Networks (Q6181900) (← links)
- Constrained dynamics, stochastic numerical methods and the modeling of complex systems. Abstracts from the workshop held May 26--31, 2024 (Q6671623) (← links)
