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Computationally efficient multi-objective optimization of an interior permanent magnet synchronous machine using neural networks

; ;

In
Engineering applications of artificial intelligence 160(Part A), Seiten/Artikel-Nr.:111753

ImpressumAmsterdam [u.a.] : Elsevier Science

Umfang[1]-15

ISSN0952-1976

Online
DOI: 10.1016/j.engappai.2025.111753

DOI: 10.18154/RWTH-2025-06961
URL: https://publications.rwth-aachen.de/record/1016566/files/1016566.pdf

Einrichtungen

  1. Lehrstuhl für Elektrische Maschinen und Antriebe und Institut für Elektrische Maschinen (614410)


Thematische Einordnung (Klassifikation)
DDC: 004

OpenAccess:
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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105011388143
WOS Core Collection: WOS:001542461700001

Interne Identnummern
RWTH-2025-06961
Datensatz-ID: 1016566

Beteiligte Länder
Germany, Slovenia

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution-NonCommercial CC BY-NC 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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614410
 Record created 2025-08-18, last modified 2025-10-01
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