Creator:

Skubalska-Rafajłowicz, Ewa

Contributor:

Rutkowska, Danuta - ed. ; Zadeh, Lotfi A. - ed.

Title:

One-dimensional Kohonen LVQ nets for multidimensional pattern recognition

Subtitle:

Neuro-Fuzzy and Soft Computing

Group publication title:

AMCS, volume 10 (2000)

Subject and Keywords:

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

Abstract:

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 80M 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.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2000

Resource Type:

artykuł

Pages:

767-778

Source:

AMCS, volume 10, number 4 (2000) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego