Finding approximate analytical solutions of differential equations using Neural Networks with self-adaptive training sets.
Felix G. Hamza-LupIonut Emil IacobJames OrgeronPublished in: ECAI (2021)
Keyphrases
- differential equations
- boundary value problem
- neural network
- numerical integration
- dynamical systems
- training set
- pattern recognition
- numerical solution
- ordinary differential equations
- exact solution
- transmission line
- nonlinear differential equations
- difference equations
- brownian motion
- numerical methods
- partial differential equations
- fuzzy logic
- feed forward artificial neural networks
- boundary conditions
- dynamic systems
- back propagation
- image quality
- classification accuracy
- high dimensional
- genetic algorithm