Pages that link to "Item:Q2113241"
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The following pages link to Data-driven soliton solutions and model parameters of nonlinear wave models via the conservation-law constrained neural network method (Q2113241):
Displaying 8 items.
- Prediction of optical solitons using an improved physics-informed neural network method with the conservation law constraint (Q2113135) (← links)
- Novel trial functions and rogue waves of generalized breaking soliton equation via bilinear neural network method (Q2170351) (← links)
- Data-driven vector soliton solutions of coupled nonlinear Schrödinger equation using a deep learning algorithm (Q2246919) (← links)
- Two-dimensional rogue wave clusters in self-focusing Kerr-media (Q2679980) (← links)
- A linearly implicit energy-preserving exponential time differencing scheme for the fractional nonlinear Schrödinger equation (Q6145306) (← links)
- PT-symmetric solitons and parameter discovery in self-defocusing saturable nonlinear Schrödinger equation via LrD-PINN (Q6550002) (← links)
- Advanced physics-informed neural networks for numerical approximation of the coupled Schrödinger-KdV equation (Q6590978) (← links)
- Numerical solutions of KdV and mKDV equations: using sequence and multi-core parallelization implementation (Q6593335) (← links)
