Pages that link to "Item:Q2683577"
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The following pages link to Physics-informed neural network methods based on Miura transformations and discovery of new localized wave solutions (Q2683577):
Displaying 17 items.
- VC-PINN: variable coefficient physics-informed neural network for forward and inverse problems of PDEs with variable coefficient (Q6069931) (← links)
- Deep learning data-driven multi-soliton dynamics and parameters discovery for the fifth-order Kaup-Kuperschmidt equation (Q6096544) (← links)
- Pre-training physics-informed neural network with mixed sampling and its application in high-dimensional systems (Q6130985) (← links)
- Parallel physics-informed neural networks method with regularization strategies for the forward-inverse problems of the variable coefficient modified KdV equation (Q6130986) (← links)
- Physics-informed neural networks with two weighted loss function methods for interactions of two-dimensional oceanic internal solitary waves (Q6130987) (← links)
- Deep learning soliton dynamics and complex potentials recognition for 1D and 2D \(\mathcal{PT}\)-symmetric saturable nonlinear Schrödinger equations (Q6160033) (← links)
- Exploring two-dimensional internal waves: a new three-coupled Davey-Stewartson system and physics-informed neural networks with weight assignment methods (Q6191519) (← links)
- Gradient-enhanced physics-informed neural networks based on transfer learning for inverse problems of the variable coefficient differential equations (Q6191522) (← links)
- Is the neural tangent kernel of PINNs deep learning general partial differential equations always convergent? (Q6198233) (← links)
- Physical informed memory networks for solving PDEs: implementation and applications (Q6497869) (← links)
- Data-driven fusion and fission solutions in the Hirota-Satsuma-Ito equation via the physics-informed neural networks method (Q6497884) (← links)
- PT-symmetric solitons and parameter discovery in self-defocusing saturable nonlinear Schrödinger equation via LrD-PINN (Q6550002) (← links)
- Adaptive sampling physics-informed neural network method for high-order rogue waves and parameters discovery of the \((2+1)\)-dimensional CHKP equation (Q6554449) (← links)
- Darboux transformation-based LPNN generating novel localized wave solutions (Q6584190) (← links)
- A failure-informed multi-stage training algorithm for three-component nonlinear Schrödinger equation (Q6585366) (← links)
- Pseudo grid-based physics-informed convolutional-recurrent network solving the integrable nonlinear lattice equations (Q6599876) (← links)
- Conservative deep neural networks for modeling competition of ribosomes with extended length (Q6650131) (← links)
