Elliott waves classification by means of neural and pseudo neural networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F18%3A63520652" target="_blank" >RIV/70883521:28140/18:63520652 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/16:43875582 RIV/61988987:17310/18:A1901TN2
Result on the web
<a href="http://link.springer.com/article/10.1007/s00500-016-2097-y" target="_blank" >http://link.springer.com/article/10.1007/s00500-016-2097-y</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s00500-016-2097-y" target="_blank" >10.1007/s00500-016-2097-y</a>
Alternative languages
Result language
angličtina
Original language name
Elliott waves classification by means of neural and pseudo neural networks
Original language description
This article presents a comparative study of the classification of Elliott waves in data. Regarding the methods of classification, the paper deals with three approaches. The first one is a multilayer artificial neural network (ANN) with sigmoid activation function and backpropagation and Levenberg–Marquardt training algorithm. Second approach uses training algorithms of ANN but forms of activation functions of hidden nodes and nodes in output layers have been proposed by analytical programming with the differential evolution. The last approach offers results performed by synthesized pseudo neural networks where the symbolic regression is used for synthesis of a whole structure of the classifier, i.e., the relation between inputs and output(s) similar to ANN. In this case, meta-evolution version of analytic programming with differential evolution is used. In conclusion, all results of this experimental study were evaluated and compared mutually.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA15-06700S" target="_blank" >GA15-06700S: Unconventional Control of Complex Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Soft computing
ISSN
1432-7643
e-ISSN
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Volume of the periodical
22
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
11
Pages from-to
1803-1813
UT code for WoS article
000426761200007
EID of the result in the Scopus database
2-s2.0-84960157449