DocumentCode
3616948
Title
Adaptive regression estimation with multilayer feedforward neural networks
Author
M. Kohler;A. Krzyzak
Author_Institution
Fachbereich Math., Stuttgart Univ., Germany
fYear
2004
fDate
6/26/1905 12:00:00 AM
Firstpage
467
Abstract
We prove a general bound on the expected L/sub 2/ error of adaptive least squares estimates. By applying it to multilayer feedforward neural network regression function estimates we are able to obtain fast rates of convergence in special classes of regression functions such as additive functions.
Keywords
"Multi-layer neural network","Neural networks","Feedforward neural networks","Least squares approximation","Neurons","Computer science","Computer errors","Convergence","Statistical distributions","Artificial neural networks"
Publisher
ieee
Conference_Titel
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN
0-7803-8280-3
Type
conf
DOI
10.1109/ISIT.2004.1365504
Filename
1365504
Link To Document