Universal Approximation Property of Hamiltonian Deep Neural Networks.
Muhammad ZakwanMassimiliano D'AngeloGiancarlo Ferrari-TrecatePublished in: CoRR (2023)
Keyphrases
- neural network
- pattern recognition
- approximation algorithms
- artificial neural networks
- feed forward
- back propagation
- relative error
- error bounds
- closed form
- queueing networks
- competitive learning
- fuzzy logic
- approximation error
- genetic algorithm
- fuzzy neural network
- neural nets
- desirable properties
- multi layer
- multilayer perceptron
- neural network model
- approximation methods
- real time
- turing machine
- self organizing maps
- fault diagnosis
- nearest neighbor
- learning algorithm
- machine learning
- data sets