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Evolutionary identification and synthesis of predictive models

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dc.title Evolutionary identification and synthesis of predictive models en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Skanderová, Lenka
dc.contributor.author Chadli, Mohammed
dc.contributor.author Brandejský, Tomáš
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-642-33226-5
dc.date.issued 2013
utb.relation.volume 192 AISC
dc.citation.spage 261
dc.citation.epage 272
dc.event.title Conference on Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems, Nostradamus 2012
dc.event.location Ostrava
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-09-05
dc.event.edate 2012-09-07
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag Berlin en
dc.identifier.doi 10.1007/978-3-642-33227-2_27
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-642-33227-2_27
dc.description.abstract In this contribution is demonstrated use of two evolutionary algorithms on parameter identification of selected predictive models. Both algorithms were used to indentify parameter of pre-selected ARMA models. At the end are discussed possibilities of use of synthesis of predictive models by means of methods of symbolic regression that has successfully been used on chaotic system identification by means of evolutionary algorithms on measured data. © 2013 Springer-Verlag. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003606
utb.identifier.obdid 43869220
utb.identifier.scopus 2-s2.0-84874607010
utb.identifier.wok 000313767300027
utb.source d-scopus
dc.date.accessioned 2014-01-06T08:26:10Z
dc.date.available 2014-01-06T08:26:10Z
utb.contributor.internalauthor Šenkeřík, Roman
utb.fulltext.affiliation Ivan Zelinka 1 , Lenka Skanderova 1 , Mohammed Chadli 2 , Tomas Brandejsky 3 , and Roman Senkerik 4 1 VŠB-Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science, Department of Computer Science, 17. listopadu 15, 708 33 Ostrava-Poruba, Czech Republic {ivan.zelinka,lenka.skanderova.st}@vsb.cz 2 University of Picardie Jules Verne, 7, Rue du Moulin Neuf, 80000, Amiens, France mohammed.chadli@u-picardie.fr 3 Faculty of Transportation Sciences, CTU in Prague brandejsky@fd.cvut.cz 4 Tomas Bata University in Zlin, Faculty of Applied Informatics, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic senkerik@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the Development of human resources in research and development of latest soft computing methods and their application in practice project, reg. no. CZ.1.07/2.3.00/20.0072 funded by Operational Programme Education for Competitiveness, co-financed by ESF and state budget of the Czech Republic.
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