Error bounds for approximation with neural networks

Journal of Approximation Theory

Volumn 112, Issue 2, 2001, Pages 235-250

  Burger, Martin ^a   Neubauer, Andreas ^a  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

Author keywords

Error bounds; Neural networks; Nonlinear function approximation

Indexed keywords

EID: 0035201779     PISSN: 00219045     EISSN: None     Source Type: Journal    
DOI: 10.1006/jath.2001.3613     Document Type: Article

References (13)

1. Universal approximation bounds for superpositions of a sigmoidal function
2. "Neural Networks for Pattern Recognition"
3. Training neural networks with noisy data as an ill-posed problem
4. Approximation by feed-forward neural networks
5. "Regularization of Inverse Problems"
6. Multilayer feedforward networks are universal approximators
7. Approximation properties of a multilayered feed-forward artificial neural network
8. Degree of approximation by neural and translation networks with a single hidden layer
9. Generalization bounds for function approximation from scattered noisy data
10. Approximation by ridge functions and neural networks
11. Approximation by radial basis functions with finitely many centers
12. Convergence rates of certain approximate solutions to Fredholm integral equations of the first kind