Pages that link to "Item:Q2038155"

The following pages link to A deep learning improved numerical method for the simulation of rogue waves of nonlinear Schrödinger equation (Q2038155):

Displaying 8 items.

• \(N\)-double poles solutions for nonlocal Hirota equation with nonzero boundary conditions using Riemann-Hilbert method and PINN algorithm (Q2140112) (← links)
• The Fermi-Pasta-Ulam-Tsingou recurrence for discrete systems: cascading mechanism and machine learning for the Ablowitz-Ladik equation (Q2160956) (← links)
• Novel trial functions and rogue waves of generalized breaking soliton equation via bilinear neural network method (Q2170351) (← links)
• A homotopy gated recurrent unit for predicting high dimensional hyperchaos (Q2170813) (← links)
• Data-driven vector soliton solutions of coupled nonlinear Schrödinger equation using a deep learning algorithm (Q2246919) (← links)
• Numerical wave propagation aided by deep learning (Q2683049) (← links)
• Deep learning neural networks for the third-order nonlinear Schrödinger equation: bright solitons, breathers, and rogue waves (Q6046358) (← links)
• Dynamic analysis on optical pulses via modified PINNs: soliton solutions, rogue waves and parameter discovery of the CQ-NLSE (Q6058699) (← links)