DocumentCode
2350839
Title
Training linear neural network with early stopped learning and ridge estimation
Author
Vigneron, Vincent ; Barret, Claude
Author_Institution
CEMIF, Evry Univ., France
fYear
1998
fDate
9-11 Dec 1998
Firstpage
14
Lastpage
19
Abstract
This paper addresses the problem of supervised learning in layered neural network with linear units and includes an analysis of the effect of noise on training algorithms. We survey most of the known results on linear networks. The connections to classical statistical ideas such as ordinary least squares are emphasized
Keywords
feedforward neural nets; learning (artificial intelligence); least squares approximations; principal component analysis; sensitivity analysis; least squares regression; linear neural network; multilayer neural network; principal component analysis; ridge estimation; sensitivity analysis; supervised learning; Algorithm design and analysis; Artificial neural networks; Collaboration; Computer networks; Covariance matrix; Indexing; Least squares methods; Neural networks; Supervised learning; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1998. Proceedings. Vth Brazilian Symposium on
Conference_Location
Belo Horizonte
Print_ISBN
0-8186-8629-4
Type
conf
DOI
10.1109/SBRN.1998.730987
Filename
730987
Link To Document