Adversarial Sampling for Solving Differential Equations with Neural Networks.
Kshitij ParwaniPavlos ProtopapasPublished in: CoRR (2021)
Keyphrases
- differential equations
- neural network
- runge kutta
- feed forward artificial neural networks
- dynamical systems
- numerical solution
- ordinary differential equations
- pattern recognition
- boundary value problem
- brownian motion
- numerical methods
- machine learning
- nonlinear differential equations
- partial differential equations
- multi agent
- similarity measure
- pattern classification
- high order
- artificial neural networks
- difference equations
- reinforcement learning
- genetic algorithm