Elliott Waves Classification Via Softcomputing

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43870527" target="_blank" >RIV/70883521:28140/13:43870527 - isvavai.cz</a>
Alternative codes found
RIV/61988987:17310/13:A14017Z5
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Elliott Waves Classification Via Softcomputing
Original language description
This article presents a comparative study of the classification of Elliott waves in the chart. Regarding the methods of classification, the paper deals with backpropagation neural networks. Forms of activation functions of neurons in the hidden and output layers have been proposed by analytical programming with the differential evolution. The adaptation of the proposed neural network was performed by a standard backpropagation rule and Levenberg-Marquardt adaptation from Neural Network Toolbox in the Wolfram Mathematica environment. In conclusion, all results of this experimental study were evaluated and compared with each other.
Czech name
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Czech description
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Project
<a href="/en/project/ED2.1.00%2F03.0089" target="_blank" >ED2.1.00/03.0089: The Centre of Security, Information and Advanced Technologies (CEBIA-Tech)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
MENDEL 2013 19th International Conference on Soft Computing
ISBN
978-80-214-4755-4
ISSN
1803-3814
e-ISSN
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Number of pages
6
Pages from-to
69-74
Publisher name
Vysoké učení technické v Brně, Fakulta strojního inženýrství
Place of publication
Brno
Event location
Brno
Event date
Jun 26, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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