Pages that link to "Item:Q2671349"
From MaRDI portal
The following pages link to Adaptive deep neural networks methods for high-dimensional partial differential equations (Q2671349):
Displaying 23 items.
- Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations (Q681281) (← links)
- Derivative-informed projected neural networks for high-dimensional parametric maps governed by PDEs (Q2060092) (← links)
- Deep learning schemes for parabolic nonlocal integro-differential equations (Q2098092) (← links)
- Least-squares ReLU neural network (LSNN) method for linear advection-reaction equation (Q2132582) (← links)
- Self-adaptive deep neural network: numerical approximation to functions and PDEs (Q2133768) (← links)
- Adaptive deep density approximation for Fokker-Planck equations (Q2135831) (← links)
- Deep neural networks based temporal-difference methods for high-dimensional parabolic partial differential equations (Q2168314) (← links)
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks (Q2679440) (← links)
- Deep Adaptive Basis Galerkin Method for High-Dimensional Evolution Equations With Oscillatory Solutions (Q5038412) (← links)
- Approximations with deep neural networks in Sobolev time-space (Q5075578) (← links)
- Adaptive Learning Neural Network Method for Solving Time–Fractional Diffusion Equations (Q5081140) (← links)
- A Local Deep Learning Method for Solving High Order Partial Differential Equations (Q5864768) (← links)
- Solving seepage equation using physics-informed residual network without labeled data (Q6120152) (← links)
- Variable separated physics-informed neural networks based on adaptive weighted loss functions for blood flow model (Q6144182) (← links)
- Adaptive deep neural networks for solving corner singular problems (Q6545698) (← links)
- A gradient-enhanced physics-informed neural networks method for the wave equation (Q6583846) (← links)
- A few-shot identification method for stochastic dynamical systems based on residual multipeaks adaptive sampling (Q6592602) (← links)
- Multistep asymptotic pre-training strategy based on PINNs for solving steep boundary singular perturbation problems (Q6609750) (← links)
- f-PICNN: a physics-informed convolutional neural network for partial differential equations with space-time domain (Q6614990) (← links)
- Deep finite volume method for partial differential equations (Q6615033) (← links)
- Binary structured physics-informed neural networks for solving equations with rapidly changing solutions (Q6615737) (← links)
- Computing ground states of Bose-Einstein condensation by normalized deep neural network (Q6648395) (← links)
- WAN discretization of PDEs: best approximation, stabilization, and essential boundary conditions (Q6660351) (← links)
