Methodology for Elliott waves pattern recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F13%3AA14017TQ" target="_blank" >RIV/61988987:17310/13:A14017TQ - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Methodology for Elliott waves pattern recognition
Original language description
The article is focused on an analysis and pattern recognition in time series, which are fractal in nature. The proposal methodology is based on an interdisciplinary approach that combines artificial neural networks, analytic programming, Elliott wave theory and knowledge modelling. The heart of the methodology are a methods, which is able to recognize Elliott waves structures including their deformation in the charts and helps to more efficient prediction of its trend. The functionality of the proposedmethodology was validated in experimental simulations, for whose implementation was designed and created an application environment. Experimental simulations have shown that the method is usable to a wider class of problems than the theory itself allowsonly Elliott waves.This paper introduces a methodology that allows analysis of Elliot wave?s patterns in time series for the purpose of a trend prediction.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
PROCEEDINGS 27th European Conference on Modelling and Simulation ECMS 2013
ISBN
978-0-9564944-6-7
ISSN
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e-ISSN
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Number of pages
918
Pages from-to
349-354
Publisher name
European Council for Modelling and Simulation
Place of publication
Sbr.-Dudweiler, Germany
Event location
Aalesund, Norway
Event date
May 27, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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