Approximation of nearly-periodic symplectic maps via structure-preserving neural networks.
Valentin DuruisseauxJoshua W. BurbyQi TangPublished in: CoRR (2022)
Keyphrases
- structure preserving
- neural network
- fuzzy logic
- artificial neural networks
- pattern recognition
- back propagation
- error bounds
- approximation algorithms
- expert systems
- data sets
- genetic algorithm
- dimensionality reduction
- approximation error
- high dimensional
- machine learning
- neural network model
- recurrent neural networks
- neural nets
- multi layer
- fuzzy systems
- neural network is trained
- approximation schemes
- relative error
- competitive learning
- closed form
- fault diagnosis
- artificial intelligence