Neuronová síť typu SOM: Přehled finančních a ekonomických aplikací

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F04%3A00010356" target="_blank" >RIV/61989100:27510/04:00010356 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Self-Organizing Maps: Review of Selected Financial and Economic Applications

Popis výsledku v původním jazyce

This paper presents a neural network approach to solve various financial problems. Especially the possibility of SOM´s (Self-Organizing Maps) financial applications is shown. First the fundamentals of the SOM are described. T.Kohonen discovered this approach in 1982 and it can be used for searching for patterns in data sets and producing visual displays or maps of the similarities and dissimilarities in the data. This attribute of SOM is called clustering. The results from SOM are often improved if it is used in conjunction with traditional statistical techniques or if it is combined with more sophisticated modern techniques such as genetic algorithms or fuzzy logic and modeling. The goal of this paper is to show some practical financial and economic applications and presents the results from these applications.

Název v anglickém jazyce

Self-Organizing Maps: Review of Selected Financial and Economic Applications

Popis výsledku anglicky

This paper presents a neural network approach to solve various financial problems. Especially the possibility of SOM´s (Self-Organizing Maps) financial applications is shown. First the fundamentals of the SOM are described. T.Kohonen discovered this approach in 1982 and it can be used for searching for patterns in data sets and producing visual displays or maps of the similarities and dissimilarities in the data. This attribute of SOM is called clustering. The results from SOM are often improved if it is used in conjunction with traditional statistical techniques or if it is combined with more sophisticated modern techniques such as genetic algorithms or fuzzy logic and modeling. The goal of this paper is to show some practical financial and economic applications and presents the results from these applications.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AH - Ekonomie

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2004

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ECON 04

ISSN

0862-7908

e-ISSN

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Svazek periodika

11

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

108-117

Kód UT WoS článku

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EID výsledku v databázi Scopus

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