Hamiltonian Neural Networks for solving differential equations.
Marios MattheakisDavid SondakAkshunna S. DograPavlos ProtopapasPublished in: CoRR (2020)
Keyphrases
- differential equations
- neural network
- feed forward artificial neural networks
- runge kutta
- dynamical systems
- ordinary differential equations
- numerical solution
- boundary value problem
- pattern recognition
- brownian motion
- nonlinear differential equations
- numerical methods
- partial differential equations
- back propagation
- graph coloring
- difference equations
- artificial neural networks
- structure from motion
- nonlinear equations