High Precision Differentiation Techniques for Data-Driven Solution of Nonlinear PDEs by Physics-Informed Neural Networks.
Marat S. MukhametzhanovPublished in: CoRR (2022)
Keyphrases
- high precision
- data driven
- neural network
- high recall
- high reliability
- pattern recognition
- complementarity problems
- achieve high precision
- partial differential equations
- level set
- nonlinear equations
- artificial neural networks
- boundary value problem
- mathematical model
- high accuracy
- computer science
- linear systems
- eikonal equation
- image denoising
- high order
- information extraction
- artificial intelligence
- training process
- feed forward
- back propagation
- wave equation
- genetic algorithm