The principle of prediction of complex time-dependent nonlinear problems using RNN

dc.contributor.authorKarban, Pavel
dc.contributor.authorPetrášová, Iveta
dc.contributor.authorDoležel, Ivo
dc.date.accessioned2023-03-06T11:00:30Z
dc.date.available2023-03-06T11:00:30Z
dc.date.issued2022
dc.description.abstract-translatedAn approach based on recurrent neural networks (RNNs) is applied to verify the possibility of using surrogate models for the prediction of dynamic nonlinear problems. Modeling complex time dependencies is currently still a challenge, when the structure of the neural network needs to be adapted to the dynamics of the problem. In this paper, the possibility of using prediction in space-time problems is illustrated by the possibility of using it to predict the course of the current in a simple RL circuit that is powered by a voltage source.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationKARBAN, P. PETRÁŠOVÁ, I. DOLEŽEL, I. The principle of prediction of complex time-dependent nonlinear problems using RNN. In Proceedings of the 23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022. Piscataway: IEEE, 2022. s. nestránkováno. ISBN: 979-8-3503-9625-6cs
dc.identifier.doi10.1109/CPEE56060.2022.9919650
dc.identifier.isbn979-8-3503-9625-6
dc.identifier.obd43938733
dc.identifier.uri2-s2.0-85142158137
dc.identifier.urihttp://hdl.handle.net/11025/51682
dc.language.isoenen
dc.project.IDSGS-2021-011/Rozvoj technik snižování řádu systému v elektrotechnických aplikacíchcs
dc.publisherIEEEen
dc.relation.ispartofseriesProceedings of the 23rd International Conference on Computational Problems of Electrical Engineering, CPEE 2022en
dc.rightsPlný text je přístupný v rámci univerzity přihlášeným uživatelůmcs
dc.rights© IEEEen
dc.rights.accessrestrictedAccessen
dc.subject.translatedsurrogate modelen
dc.subject.translatedrecurrent neural networksen
dc.subject.translatedLSTMen
dc.subject.translatedanalytical modelen
dc.subject.translateddynamic nonlinear problemen
dc.titleThe principle of prediction of complex time-dependent nonlinear problems using RNNen
dc.typekonferenční příspěvekcs
dc.typeConferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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