Pages that link to "Item:Q2160472"
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The following pages link to Numerical approximation of partial differential equations by a variable projection method with artificial neural networks (Q2160472):
Displaying 11 items.
- Numerical solution and bifurcation analysis of nonlinear partial differential equations with extreme learning machines (Q2236543) (← links)
- Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations (Q2246361) (← links)
- On a multilevel Levenberg–Marquardt method for the training of artificial neural networks and its application to the solution of partial differential equations (Q5038185) (← links)
- Physics-informed neural networks for approximating dynamic (hyperbolic) PDEs of second order in time: error analysis and algorithms (Q6087958) (← links)
- Physically informed deep homogenization neural network for unidirectional multiphase/multi-inclusion thermoconductive composites (Q6101900) (← links)
- A method for computing inverse parametric PDE problems with random-weight neural networks (Q6107102) (← links)
- Numerical computation of partial differential equations by hidden-layer concatenated extreme learning machine (Q6159015) (← links)
- Numerical Approximation of Partial Differential Equations by a Variable Projection Method with Artificial Neural Networks (Q6389057) (← links)
- Slow invariant manifolds of singularly perturbed systems via physics-informed machine learning (Q6573172) (← links)
- Novel gradient-enhanced Bayesian neural networks for uncertainty propagation (Q6588347) (← links)
- Deep learning in computational mechanics: a review (Q6604128) (← links)
