Hybrid Intelligent System for Point Localization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F14%3AA1501B2G" target="_blank" >RIV/61988987:17310/14:A1501B2G - 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

Hybrid Intelligent System for Point Localization

Popis výsledku v původním jazyce

The article introduces a hybrid intelligent system for point localization in 3D Euclidean space. There are two models presented. The first one is based on neural networks and the second one represents a classical approach. The classical model calculatesEuclidean distances between two points in the defined domain. As regards the experimental study, we proposed appropriate topologies of the systems that depend on the required accuracy. At first, we identified distances between a randomly generated pointand a reference points in the defined domain. Then a neural network uses the obtained distances as its inputs to determine the actual position of the point in the domain space. The experimental study was repeated several times. All obtained results are mutually compared in the conclusion.

Název v anglickém jazyce

Hybrid Intelligent System for Point Localization

Popis výsledku anglicky

The article introduces a hybrid intelligent system for point localization in 3D Euclidean space. There are two models presented. The first one is based on neural networks and the second one represents a classical approach. The classical model calculatesEuclidean distances between two points in the defined domain. As regards the experimental study, we proposed appropriate topologies of the systems that depend on the required accuracy. At first, we identified distances between a randomly generated pointand a reference points in the defined domain. Then a neural network uses the obtained distances as its inputs to determine the actual position of the point in the domain space. The experimental study was repeated several times. All obtained results are mutually compared in the conclusion.

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

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

Modern Trends and Techniques in Computer Science, AISC 285

ISBN

978-3-319-06739-1

ISSN

2194-5357

e-ISSN

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Počet stran výsledku

11

Strana od-do

93-103

Název nakladatele

Springer Verlag

Místo vydání

Switzerland

Místo konání akce

UTB Zlín

Datum konání akce

28. 4. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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