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Discovering uncertainty: Bayesian constitutive artificial neural networks

; ;

In
Computer methods in applied mechanics and engineering 433(Part A), Seiten/Artikel-Nr.:117517

ImpressumAmsterdam [u.a.] : Elsevier Science

Umfang[1]-15

ISSN0045-7825

Received 19 August 2024, Revised 4 October 2024, Accepted 29 October 2024, Available online 7 November 2024

Online
DOI: 10.1016/j.cma.2024.117517

DOI: 10.18154/RWTH-2024-11043
URL: https://publications.rwth-aachen.de/record/997082/files/997082.pdf

Einrichtungen

  1. Lehrstuhl und Institut für Angewandte Mechanik (311510)


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-s2.0-85208241011
WOS Core Collection: WOS:001354614000001

Interne Identnummern
RWTH-2024-11043
Datensatz-ID: 997082

Beteiligte Länder
Austria, Germany, Norway, USA

Lizenzstatus der Zeitschrift

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Medline ; Creative Commons Attribution CC BY 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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311510
 Record created 2024-11-25, last modified 2025-09-30
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