Fourier neural networks as function approximators and differential equation solvers.
Marieme NgomOana MarinPublished in: Stat. Anal. Data Min. (2021)
Keyphrases
- differential equations
- function approximators
- neural network
- function approximation
- reinforcement learning
- dynamical systems
- temporal difference
- learning tasks
- pattern recognition
- temporal difference methods
- boundary value problem
- genetic algorithm
- action space
- reinforcement learning algorithms
- partial differential equations
- machine learning
- multiscale
- model free
- real valued
- radial basis function
- back propagation
- least squares
- state space