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A novel measure for quantifying the topology preservation of self-organizing feature maps

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Publication:1857742
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DOI10.1023/A:1015240802059zbMath1008.68744OpenAlexW1506042588MaRDI QIDQ1857742

Hsiao-Te Chang, Mu-Chun Su, Chien-Hsing Chou

Publication date: 19 February 2003

Published in: Neural Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1015240802059


zbMATH Keywords

neural networksfeature mapstopological propertySOM algorithm


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)


Related Items (2)

Efficient methods of initializing neuron weights in self-organizing networks implemented in hardware ⋮ A novel recursive algorithm used to model hardware programmable neighborhood mechanism of self-organizing neural networks







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