Physics Informed Neural Networks (PINNs)for approximating nonlinear dispersive PDEs.
Genming BaiUjjwal KoleySiddhartha MishraRoberto MolinaroPublished in: CoRR (2021)
Keyphrases
- training process
- neural network
- diffusion equation
- partial differential equations
- anisotropic diffusion
- computer science
- nonlinear diffusion
- artificial intelligence
- high order
- pattern recognition
- auto associative
- adaptive neural
- fourth order
- finite difference
- neural model
- nonlinear functions
- difference equations
- image denoising
- nonlinear dynamic systems
- level set
- image processing
- solving partial differential equations
- nonlinear dynamics
- scale spaces
- multilayer perceptron
- neural network model
- scale space
- genetic algorithm