Comparison of worst case errors in linear and neural network approximation.
Vera KurkováMarcello SanguinetiPublished in: IEEE Trans. Inf. Theory (2002)
Keyphrases
- space complexity
- worst case
- neural network
- error bounds
- approximation algorithms
- worst case analysis
- average case
- closed form
- upper bound
- np hard
- greedy algorithm
- pattern recognition
- expected error
- artificial neural networks
- back propagation
- linear approximation
- constant factor approximation
- linear functions
- network model
- error tolerance
- closed form solutions
- sequential monte carlo methods
- linear model
- genetic algorithm
- computational complexity
- lower bound
- fuzzy logic
- prediction model
- piecewise constant
- error detection
- running times
- learning vector quantization
- nonlinear functions
- recurrent neural networks
- neural network model
- multi layer
- hidden layer
- error analysis
- network architecture