Approximation and Estimation Bounds for Artificial Neural Networks.
Andrew R. BarronPublished in: Mach. Learn. (1994)
Keyphrases
- artificial neural networks
- error bounds
- neural network
- stage stochastic programs
- approximation methods
- back propagation
- upper bound
- computational intelligence
- radial basis function
- error tolerance
- lower bound
- maximum likelihood estimation
- importance sampling
- approximation algorithms
- approximation ratio
- maximum likelihood estimator
- evolutionary artificial neural networks
- parametric models
- estimation algorithm
- activation function
- using artificial neural networks
- relative error
- soft computing
- rate distortion theory
- feed forward
- markovian decision