DocumentCode
1458327
Title
Against the convergence of the minor component analysis neurons
Author
Taleb, Anisse ; Cirrincione, Giansalvo
Author_Institution
LIS-INPG, Grenoble, France
Volume
10
Issue
1
fYear
1999
fDate
1/1/1999 12:00:00 AM
Firstpage
207
Lastpage
210
Abstract
We investigate the dynamical behavior of some linear neurons devised for the minor component analysis. Contrary to their convergence theorems, our analysis reveals the existence of a divergence in a finite time
Keywords
approximation theory; differential equations; eigenvalues and eigenfunctions; learning (artificial intelligence); neural nets; signal processing; stochastic processes; convergence; differential equation; divergence; eigenvalues; linear neurons; minor component analysis; neural nets; stochastic approximation; Artificial neural networks; Clustering algorithms; Convergence; Joints; Neural networks; Neurons; Pattern recognition; Power capacitors; Self organizing feature maps; Statistics;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.737511
Filename
737511
Link To Document