Hybrid Intelligent System for Point Localization
The result's identifiers
Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Hybrid Intelligent System for Point Localization
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Modern Trends and Techniques in Computer Science, AISC 285
ISBN
978-3-319-06739-1
ISSN
2194-5357
e-ISSN
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Number of pages
11
Pages from-to
93-103
Publisher name
Springer Verlag
Place of publication
Switzerland
Event location
UTB Zlín
Event date
Apr 28, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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