Pattern recognition and system adaptation

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA11010RR" target="_blank" >RIV/61988987:17310/11:A11010RR - 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

Pattern recognition and system adaptation

Popis výsledku v původním jazyce

In this paper we would like to introduce the pattern recognition approach based on neural networks. Patterns are an effective way to describe system?s behaviours because we do not need to cover it every moment but we only search for certain patterns thatappear from time to time. There are many ways how to recognize a pattern. In this study we use neural networks to do the job. Based on the pattern we recognize, it is possible to expect system's behaviour and adapt our acting desired way. There are manyproblems related to our research so in this paper we will concentrate on pattern recognition part mainly and present our current pattern recognition utility written in Java language and based on neural networks.

Název v anglickém jazyce

Pattern recognition and system adaptation

Popis výsledku anglicky

In this paper we would like to introduce the pattern recognition approach based on neural networks. Patterns are an effective way to describe system?s behaviours because we do not need to cover it every moment but we only search for certain patterns thatappear from time to time. There are many ways how to recognize a pattern. In this study we use neural networks to do the job. Based on the pattern we recognize, it is possible to expect system's behaviour and adapt our acting desired way. There are manyproblems related to our research so in this paper we will concentrate on pattern recognition part mainly and present our current pattern recognition utility written in Java language and based on neural networks.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

Pattern recognition and system adaptation

ISBN

978-80-89313-51-8

ISSN

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e-ISSN

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Počet stran výsledku

10

Strana od-do

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Název nakladatele

STU Bratislava

Místo vydání

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Místo konání akce

Bratislava

Datum konání akce

1. 2. 2011

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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