Phase computation for the finite-genus solutions to the focusing nonlinear Schrödinger equation using convolutional neural networks

Keyphrases

• Nonlinear Schrödinger Equation 100%
• Convolutional Neural Network 100%
• Riemann-Hilbert Problem 100%
• Finite Genus Solutions 100%
• Discretized 66%
• Neural Network 33%
• Generalization Ability 33%
• Hyperparameters 33%
• Modal 33%
• Quasi-periodic 33%
• Optimization Techniques 33%
• Satisfactory Performance 33%
• Space Domain 33%
• Spatial Intervals 33%
• Performance Ability 33%
• Bayesian Optimization 33%
• Jump Matrix 33%
• Finite-gap Solution 33%
• Finite Interval 33%
• Quasi-periodic Solutions 33%
• Problem Representation 33%

Mathematics

• Schr Dinger Equation 100%
• Convolutional Neural Network 100%
• Riemann-Hilbert Problem 100%
• Neural Network 33%
• Matrix (Mathematics) 33%
• Periodic Solution 33%
• Fixed Time 33%
• Finite Interval 33%
• Bayesian Optimization 33%