Pages that link to "Item:Q6070739"
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The following pages link to Deep learning methods for partial differential equations and related parameter identification problems (Q6070739):
Displaying 17 items.
- Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations (Q681281) (← links)
- Deep learning schemes for parabolic nonlocal integro-differential equations (Q2098092) (← links)
- Data-driven deep learning of partial differential equations in modal space (Q2123370) (← links)
- Self-adaptive deep neural network: numerical approximation to functions and PDEs (Q2133768) (← links)
- Deep neural networks based temporal-difference methods for high-dimensional parabolic partial differential equations (Q2168314) (← links)
- Long-time integration of parametric evolution equations with physics-informed DeepONets (Q2683074) (← links)
- Partial differential equation regularization for supervised machine learning (Q4998637) (← links)
- (Q5043153) (← links)
- A Deep Learning Method for Elliptic Hemivariational Inequalities (Q5074898) (← links)
- Deep learning-based approximation of Goldbach partition function (Q5101877) (← 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)
- Prediction of numerical homogenization using deep learning for the Richards equation (Q6098948) (← links)
- A direct sampling-based deep learning approach for inverse medium scattering problems (Q6141551) (← links)
- Numerical computation of partial differential equations by hidden-layer concatenated extreme learning machine (Q6159015) (← links)
- Exact enforcement of temporal continuity in sequential physics-informed neural networks (Q6595862) (← links)
- Parameter identification by deep learning of a material model for granular media (Q6643277) (← links)
