Paper Info
Title
Fixed-point neural independent component analysis algorithms on the orthogonal group
Abstract
Fixed-point algorithms for neural-network learning have gained increasing interest over recent years. In blind signal processing by neural systems, they normally appear in the literature as one-unit learning rules. The aim of the present short contribution is to introduce some fully-parallel (multi-unit) learning algorithms on the group of orthogonal matrices to be applied to independent component analysis.
Year
DOI
Venue
2006
10.1016/j.future.2004.11.024
Future Generation Comp. Syst.
Keywords
DocType
Volume
independent component analysis,fixed-point iteration,present short contribution,analysis algorithm,neural-network learning,orthogonal group,fixed-point algorithm,orthogonal matrix,fixed-point neural independent component,recent year,blind signal processing,neural system,fixed point iteration,signal processing,neural network,fixed point
Journal
22
Issue
ISSN
Citations 
4
Future Generation Computer Systems
4
PageRank 
References 
Authors
0.61
8
1
Name
Order
Citations
PageRank
Simone Fiori149452.86