Error estimates for physics informed neural networks approximating the Navier-Stokes equations.
Tim De RyckAmeya D. JagtapSiddhartha MishraPublished in: CoRR (2022)
Keyphrases
- error estimates
- neural network
- navier stokes equations
- error estimation
- cross validation
- pattern recognition
- error analysis
- genetic algorithm
- model selection
- artificial neural networks
- boundary conditions
- fuzzy logic
- fault diagnosis
- neural network model
- recurrent neural networks
- artificial intelligence
- computer science
- provably correct
- back propagation
- shape from shading
- fuzzy systems
- multi layer
- light source
- sufficient conditions
- active learning