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Stability analysis of an unsupervised competitive neural network

Meyer-Bäse, A. and Thümmler, V. and Theis, Fabian J. (2006) Stability analysis of an unsupervised competitive neural network. In: International Joint Conference on Neural Networks, IJCNN '06 : 16 - 21 July 2006, Vancouver, BC, Canada, 16 - 21 July 2006; proceedings. IEEE Service Center, Piscataway, NJ. ISBN 0-7803-9490-9.

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Abstract

Unsupervised competitive neural networks (UCNN) are an established technique in pattern recognition for feature extraction and cluster analysis. A novel model of an unsupervised competitive neural network implementing a multi-time scale dynamics is proposed in this paper. The global asymptotic stability of the equilibrium points of this continuous-time recurrent system whose weights are adapted ...

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Item Type:Book Section
Date:2006
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Related URLs:
URLURL Type
http://ieeexplore.ieee.org/servlet/opac?punumber=11216Publisher
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:01 Oct 2010 07:49
Last Modified:01 Oct 2010 07:49
Item ID:16884
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