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Strange nonchaotic attractors in evolutionary processing of astroinformatic big data

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dc.title Strange nonchaotic attractors in evolutionary processing of astroinformatic big data en
dc.contributor.author Zelinka, Ivan
dc.contributor.author Kojecký, Lumír
dc.contributor.author Šenkeřík, Roman
dc.relation.ispartof 2016 Fifteenth Mexican International Conference on Artificial Intelligence (MICAI): Advances in Artificial Intelligence
dc.date.issued 2016
dc.citation.spage 75
dc.citation.epage 79
dc.event.title 15th Mexican International Conference on Artificial Intelligence (MICAI) - Advances in Artificial Intelligence
dc.event.location Cancún
utb.event.state-en Mexico
utb.event.state-cs Mexiko
dc.event.sdate 2016-10-23
dc.event.edate 2016-10-29
dc.type conferenceObject
dc.language.iso en
dc.publisher IEEE Computer Society
dc.identifier.doi 10.1109/MICAI-2016.2016.00020
dc.subject Analytic programming en
dc.subject Be stars en
dc.subject big data en
dc.subject evolutionary synthesis en
dc.subject SOMA en
dc.subject stellar spectra classification en
dc.subject strange nonchaotic attractors en
dc.description.abstract In this paper are used evolutionary algorithms on models synthesis, based on real astrophysical data sets. Data used in this paper are from a robotic telescope, Czech Republic, and selected evolutionary algorithms with so-called analytical programming are used to synthesize suitable models that fit measured data. This paper is an extension of our previous research with such difference that so-called strange nonchaotic attractors are used here instead of classical pseudo-random number generators inside used evolutionary algorithms. Results are discussed at the end. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008580
utb.identifier.wok 000458846000012
utb.source d-wok
dc.date.accessioned 2019-07-08T11:59:56Z
dc.date.available 2019-07-08T11:59:56Z
dc.description.sponsorship SGS, VSB-TUO [2018/177]; EU's Horizon 2020 research and innovation programme [710577]; Ministry of Education, Youth and Sports of the Czech Republic [LO1303 (MSMT-7778/2014)]; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; COST Action [CA15140, IC406]
utb.contributor.internalauthor Šenkeřík, Roman
utb.wos.affiliation [Zelinka, Ivan; Kojecky, Lumir] VSB Tech Univ Ostrava, Fac Elect Engn & Comp Sci, Dept Comp Sci, 17 Listopadu 15, Ostrava 70800, Czech Republic; [Senkerik, Roman] Tomas Bata Univ Zlin, Fac Appl Informat, Dept Informat & Artificial Intelligence, TG Masaryka 5555, Zlin 76001, Czech Republic
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