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Coreloss Estimation via Long Short-Term Memory Model (LSTM) of Dry-Type Transformer based on FEA

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dc.contributor.author Kül, Seda
dc.contributor.author Yildiz, Berat
dc.contributor.author Tamyurek, Bunyamin
dc.contributor.author İskender, İres
dc.date.accessioned 2024-03-12T11:29:54Z
dc.date.available 2024-03-12T11:29:54Z
dc.date.issued 2021
dc.identifier.citation Kül, Seda...et al. "Coreloss Estimation via Long Short-Term Memory Model (LSTM) of Dry-Type Transformer based on FEA", 2021 10th International Conference on Renewable Energy Research and Application (ICRERA), 2021. tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/7536
dc.description.abstract 2021 10th International Conference on Renewable Energy Research and Application (ICRERA) tr_TR
dc.language.iso eng tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject LSTM tr_TR
dc.subject Estimation tr_TR
dc.subject FEA tr_TR
dc.subject Dry-Type Transformer tr_TR
dc.title Coreloss Estimation via Long Short-Term Memory Model (LSTM) of Dry-Type Transformer based on FEA tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2021 10th International Conference on Renewable Energy Research and Application (ICRERA) tr_TR
dc.contributor.authorID 133746 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümü tr_TR


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