Evolutionary identification and synthesis of predictive models

Zelinka, Ivan; Skanderová, Lenka; Chadli, Mohammed; Brandejský, Tomáš; Šenkeřík, Roman

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 [email protected] 3 Faculty of Transportation Sciences, CTU in Prague [email protected] 4 Tomas Bata University in Zlin, Faculty of Applied Informatics, T.G. Masaryka 5555, 760 01 Zlin, Czech Republic [email protected]
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.