Pages that link to "Item:Q3619739"
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The following pages link to Neural networks for variational problems in engineering (Q3619739):
Displaying 9 items.
- A mapping strategy for the identification of structural systems (Q1789474) (← links)
- An object-oriented environment for developing finite element codes for multi-disciplinary applications (Q1958610) (← links)
- CENN: conservative energy method based on neural networks with subdomains for solving variational problems involving heterogeneous and complex geometries (Q2083124) (← links)
- Deep neural networks and adaptive quadrature for solving variational problems (Q2128466) (← links)
- Designing rotationally invariant neural networks from PDEs and variational methods (Q2168880) (← links)
- Computational mechanics enhanced by deep learning (Q2310108) (← links)
- Neural control of discrete weak formulations: Galerkin, least squares \& minimal-residual methods with quasi-optimal weights (Q2679332) (← links)
- Modeling design and control problems involving neural network surrogates (Q6043129) (← links)
- Cyclical inverse interpolation: an approach for the inverse interpolation of black-box models using tensor product representations (Q6578385) (← links)
