Deep neural network approximation theory for high-dimensional functions.
Pierfrancesco BeneventanoPatrick CheriditoRobin GraeberArnulf JentzenBenno KuckuckPublished in: CoRR (2021)
Keyphrases
- neural network
- high dimensional
- similarity search
- data sets
- approximation algorithms
- genetic algorithm
- pattern recognition
- artificial neural networks
- sparse data
- nearest neighbor
- theoretical framework
- high dimensionality
- central limit theorem
- multilayer perceptron
- neural network model
- fault diagnosis
- closed form
- computational model
- multi dimensional
- prediction model
- neural nets
- multi layer
- support vector machine
- continuous functions
- fuzzy artmap
- feature space