Data assimilation and parameter identification for water waves using the nonlinear Schrödinger equation and physics-informed neural networks.
Svenja EhlersNiklas A. WagnerAnnamaria ScherzlMarco KleinNorbert P. HoffmannMerten StenderPublished in: CoRR (2024)
Keyphrases
- wave equation
- parameter identification
- neural network
- hamilton jacobi
- data assimilation
- closed loop
- autoregressive
- anomaly detection
- fuzzy model
- pattern recognition
- finite difference
- simulation models
- fuzzy logic
- remote sensing
- partial differential equations
- artificial neural networks
- kalman filter
- motion field
- smart environments
- computer vision
- medial axis
- simulation model
- chaotic systems
- image denoising
- data analysis
- artificial intelligence