ITEM METADATA RECORD
Title: Locally implementable matrix flows and their application to neural-network learning
Authors: Dehaene, Jeroen ×
Vandewalle, Joos #
Issue Date: Mar-1994
Publisher: World scientific publ co pte ltd
Series Title: Journal of circuits systems and computers vol:4 issue:1 pages:23-51
Abstract: A number of matrix flows, based on isospectral and isodirectional flows, is studied and modified for the purpose of local implementability on a network structure. The flows converge to matrices with a predefined spectrum and eigenvectors which are determined by an external signal. The flows can be useful for adaptive signal processing applications and are applied to neural network learning.
URI: 
ISSN: 0218-1266
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Tutorial services, Faculty of Engineering
ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics
× corresponding author
# (joint) last author

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