Pages that link to "Item:Q6102002"
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The following pages link to DeepBHCP: deep neural network algorithm for solving backward heat conduction problems (Q6102002):
Displaying 10 items.
- Solution of inverse heat conduction problems using Kalman filter-enhanced Bayesian back propagation neural network data fusion (Q882365) (← links)
- Fast parallel-in-time quasi-boundary value methods for backward heat conduction problems (Q2106223) (← links)
- Radial basis function neural network (RBFNN) approximation of Cauchy inverse problems of the Laplace equation (Q6103633) (← links)
- DNN-HDG: a deep learning hybridized discontinuous Galerkin method for solving some elliptic problems (Q6158712) (← links)
- Automatic boundary fitting framework of boundary dependent physics-informed neural network solving partial differential equation with complex boundary conditions (Q6171169) (← links)
- A novel growing wavelet neural network algorithm for solving chemotaxis systems with blow‐up (Q6183137) (← links)
- A new numerical approach method to solve the Lotka-Volterra predator-prey models with discrete delays (Q6197526) (← links)
- Adaptive deep neural networks for solving corner singular problems (Q6545698) (← links)
- Regularization with two differential operators and its application to inverse problems (Q6549543) (← links)
- A quasi-boundary value regularization method for the spherically symmetric backward heat conduction problem (Q6611520) (← links)