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Custom winding ratio analysis of evolutionary optimized audio transformer

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dc.title Custom winding ratio analysis of evolutionary optimized audio transformer en
dc.contributor.author Pospíšilík, Martin
dc.contributor.author Kouřil, Lukáš
dc.contributor.author Adámek, Milan
dc.contributor.author Zelinka, Ivan
dc.contributor.author Jašek, Roman
dc.relation.ispartof Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 2194-5365 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-642-33226-5
dc.identifier.isbn 978-3-642-33227-2
dc.date.issued 2013
utb.relation.volume 192
dc.citation.spage 179
dc.citation.epage 190
dc.event.title Nostradamus Conference
dc.event.location Ostrava
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2012-09
dc.event.edate 2012-09
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag Berlin en
dc.identifier.doi 10.1007/978-3-642-33227-2_20
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-642-33227-2_20
dc.description.abstract This paper is intended to present a trend analysis resulting from different secondary to primary windings ratio of evolutionary optimized audio transformer. Evolutionary optimization of audio transformers is a perspective approach to the wideband audio transformers design by employing methods of artificial intelligence algorithms. This novel approach to audio transformers designing has a notable implication for problematics related to audio transformers complex design process. The authors are building on their previous research by trying to determine the trends which can be observed by selecting different secondary to primary windings ratio of evolutionary designed audio transformer. These trends can be useful at further optimization of the designing algorithms. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1003141
utb.identifier.obdid 43869044
utb.identifier.scopus 2-s2.0-84874639612
utb.identifier.wok 000313767300020
utb.source d-wok
dc.date.accessioned 2013-02-24T06:52:26Z
dc.date.available 2013-02-24T06:52:26Z
utb.contributor.internalauthor Pospíšilík, Martin
utb.contributor.internalauthor Kouřil, Lukáš
utb.contributor.internalauthor Adámek, Milan
utb.contributor.internalauthor Zelinka, Ivan
utb.contributor.internalauthor Jašek, Roman
utb.fulltext.affiliation Martin Pospisilik 1 , Lukas Kouril 1 , Milan Adamek 1 , Ivan Zelinka 2 , and Roman Jasek 1 1 Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam. T.G.M. 5555, Zlin, Czech Republic {pospisilik,kouril}@fai.utb.cz 2 Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VŠB-TUO 17. listopadu 15 708 33, Ostrava-Poruba, Czech Republic
utb.fulltext.dates -
utb.fulltext.sponsorship This paper is supported by the Internal Grant Agency at TBU in Zlin, project No. IGA/FAI/2012/056 and IGA/FAI/2012/053 and by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
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