Pages that link to "Item:Q5065177"
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The following pages link to High Order Deep Neural Network for Solving High Frequency Partial Differential Equations (Q5065177):
Displaying 12 items.
- A method for representing periodic functions and enforcing exactly periodic boundary conditions with deep neural networks (Q2122243) (← links)
- Deep neural networks based temporal-difference methods for high-dimensional parabolic partial differential equations (Q2168314) (← links)
- Fractional Chebyshev deep neural network (FCDNN) for solving differential models (Q2169390) (← links)
- Emulated digital CNN-UM solution of partial differential equations (Q3425477) (← links)
- A Local Deep Learning Method for Solving High Order Partial Differential Equations (Q5864768) (← links)
- Solving second-order nonlinear evolution partial differential equations using deep learning (Q6048188) (← links)
- Using deep neural networks for detecting spurious oscillations in discontinuous Galerkin solutions of convection-dominated convection-diffusion equations (Q6080848) (← links)
- High Order Deep Domain Decomposition Method for Solving High Frequency Interface Problems (Q6188658) (← links)
- An Adaptive Physics-Informed Neural Network with Two-Stage Learning Strategy to Solve Partial Differential Equations (Q6191768) (← links)
- Machine learning algorithm for the Monge-Ampère equation with transport boundary conditions (Q6630933) (← links)
- Loss jump during loss switch in solving PDEs with neural networks (Q6646469) (← links)
- Computing ground states of Bose-Einstein condensation by normalized deep neural network (Q6648395) (← links)
