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Stability analysis of an unsupervised competitive neural network

Meyer-Bäse, A., 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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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
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
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Dewey Decimal Classification:500 Science > 570 Life sciences
Created at the University of Regensburg:Unknown
Item ID:16884
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