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dc.contributor.authorMivalt, Filip
dc.date.accessioned2020-05-07T09:40:25Z
dc.date.available2020-05-07T09:40:25Z
dc.date.issued2017cs
dc.identifier.citationProceedings of the 23st Conference STUDENT EEICT 2017. s. 74-76. ISBN 978-80-214-5496-5cs
dc.identifier.isbn978-80-214-5496-5
dc.identifier.urihttp://hdl.handle.net/11012/187041
dc.description.abstractThe paper describes a software for development of equivalent-circuit models and its parameters estimation on the basis of experimental data. The software engine contains set of features neccesary for impedance computing of any circuit composed of only linear, passive elements. Functions are implemented with regard to possibility of algorithm extension with voltage and current sources or active components. Software engine also contains features for evaluation of equivalent-circuit models and basic elements of artifficial intelligence as artifficial neural networks with basic learning method.en
dc.formattextcs
dc.format.extent74-76cs
dc.format.mimetypeapplication/pdfen
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 23st Conference STUDENT EEICT 2017en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.subjectSoftware engineen
dc.subjectequivalent-circuit modelen
dc.subjectnode voltage methoden
dc.subjectartifficial neural networken
dc.titleSoftware Framework For A Development Of Equivalent-Circuit Modelen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
but.event.date27.04.2017cs
but.event.titleStudent EEICT 2017cs
dc.rights.accessopenAccessen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionPublishers's versionen


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