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

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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