Higher-Order Error estimates for physics-informed neural networks approximating the primitive equations.
Ruimeng HuQuyuan LinAlan RaydanSui TangPublished in: CoRR (2022)
Keyphrases
- error estimates
- higher order
- neural network
- error estimation
- cross validation
- pairwise
- high order
- pattern recognition
- natural images
- artificial neural networks
- model selection
- low order
- mathematical model
- genetic algorithm
- computer science
- error analysis
- neural nets
- multilayer perceptron
- fuzzy logic
- lower order
- recurrent neural networks
- high level
- back propagation
- data sets
- computer vision
- markov random field
- provably correct
- self organizing maps
- lower bound
- differential equations
- training set
- artificial intelligence
- least squares
- lambda calculus