One-Dimensional Kohonen's Lvq Nets for Multidimensional Patterns Recognition

• Autorzy: Skubalska-Rafajłowicz E.
• Języki publikacji: EN

Abstrakty

EN

A new neural network based pattern recognition algorithm is proposed. The method consists in preprocessing the multidimensional data, using a space-filling curve based transformation into the unit interval, and employing Kohonen's vector quantization algorithms (of SOM and LVQ types) in one dimension. The space-filling based transformation preserves the theoretical Bayes risk. Experiments show that such an approach can produce good or even better error rates than the classical LVQ performed in a multidimensional space.

Słowa kluczowe

EN

space-filling curve; pattern recognition; learning vector quantization; reduction of dimension

PL

krzywa przestrzenna; rozpoznawanie obrazów

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2000
• Tom: Vol. 10, no 4
• Strony: 767--778
• Opis fizyczny: Bibliogr. 28 poz., rys., tab., wykr.

Twórcy

autor

Skubalska-Rafajłowicz E.

• Technical University of Wroclaw Institute of Engineering Cybernetics ul. Wybrzeze S. Wyspianskiego 27, 50-370 Wroclaw, Poland,