A new algorithm for Kohonen layer learning with application to power system stability analysis

In certain classification problems, input patterns are not distributed in a clustering manner but distributed uniformly in an input space and there exist certain critical hyperplanes called decision boundaries. Since learning vector quantization (LVQ) classifies an input vector based on the nearest...

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Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part B, Cybernetics man and cybernetics. Part B, Cybernetics, 1997-12, Vol.27 (6), p.1030-1034
Hauptverfasser:	Young Moon Park, Gwang-Won Kim, Hong-Shik Cho, Lee, K.Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Clustering algorithms Nearest neighbor searches Pattern analysis Power system analysis computing Power system stability Power system transients Stability analysis Transient analysis Vector quantization
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