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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. |