Universal Approximation Property of Hamiltonian Deep Neural Networks.
Muhammad ZakwanMassimiliano D'AngeloGiancarlo Ferrari-TrecatePublished in: IEEE Control. Syst. Lett. (2023)
Keyphrases
- neural network
- pattern recognition
- error bounds
- genetic algorithm
- competitive learning
- artificial neural networks
- back propagation
- approximation ratio
- evolutionary algorithm
- fuzzy logic
- expert systems
- case study
- approximation methods
- approximation algorithms
- neural network is trained
- sequence prediction
- decision trees
- desirable properties
- associative memory
- recurrent neural networks
- multilayer perceptron
- neural network model
- closed form
- self organizing maps