Methodology for Elliott waves pattern recognition

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Methodology for Elliott waves pattern recognition

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Methodology for Elliott waves pattern recognition

Popis výsledku anglicky

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.

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

2013

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

918

Strana od-do

349-354

Název nakladatele

European Council for Modelling and Simulation

Místo vydání

Sbr.-Dudweiler, Germany

Místo konání akce

Aalesund, Norway

Datum konání akce

27. 5. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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