Optimal Approximation Complexity of High-Dimensional Functions with Neural Networks.
Vincent P. H. GoverseJad HamdanJared TannerPublished in: CoRR (2023)
Keyphrases
- neural network
- high dimensional
- worst case
- error tolerance
- closed form
- approximation error
- low dimensional
- dynamic programming
- genetic algorithm
- error bounds
- feed forward
- optimal solution
- feature space
- artificial neural networks
- increase in computational complexity
- continuous functions
- pattern recognition
- nearest neighbor
- fuzzy logic
- high dimensional data
- multilayer perceptron
- data sets
- constant factor
- computational complexity
- data points
- activation function
- fuzzy systems
- approximation algorithms
- metric space
- dimensionality reduction
- fault diagnosis
- back propagation
- similarity search