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Title: One-dimensional Kohonen LVQ nets for multidimensional pattern recognition

Creator:

Skubalska-Rafajłowicz, Ewa

Date:

2000

Resource Type:

artykuł

Contributor:

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

Subtitle:

Neuro-Fuzzy and Soft Computing

Group publication title:

AMCS, volume 10 (2000)

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

Resource Identifier:

oai:zbc.uz.zgora.pl:58747

Pages:

767-778

Source:

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

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

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

Object collections:

Last modified:

Sep 3, 2021

In our library since:

Jul 19, 2021

Number of object content hits:

87

All available object's versions:

https://zbc.uz.zgora.pl/publication/65526

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One-dimensional Kohonen LVQ nets for multidimensional pattern recognition Sep 3, 2021

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