Fulltext available Open Access
DC FieldValueLanguage
dc.contributor.advisorDahlkemper, Jörg-
dc.contributor.authorSahlke, Max-
dc.date.accessioned2025-04-03T09:44:50Z-
dc.date.available2025-04-03T09:44:50Z-
dc.date.created2022-09-30-
dc.date.issued2025-04-03-
dc.identifier.urihttps://hdl.handle.net/20.500.12738/17352-
dc.description.abstractDiese Arbeit behandelt die Entwicklung einer optimierten statistischen Versuchsplanungs Methodik zur Erstellung von surrogate Modellen. Ziel dieser Methodik ist es die durchschnittliche Wertigkeit der mittels Simulationen erstellter Datenpunkte zu erhöhen. Dies führt dazu, dass Modelle der gleichen Güte mit weniger Datenpunkten erstellt werden können oder bessere Modelle mit der gleichen Datenmenge.de
dc.description.abstractThis report describes the development of an optimised design of experiment methodology for the creation of surrogate models. The goal of this method is to increase the average value of the simulated data samples. This yields to the possibility to generate models with the same quality with less data, or models with better quality with the same amount of data. Hence, there is the potential to save cost and time in many development processes while increasing the overall quality.en
dc.language.isoenen_US
dc.subjectDesign of experimentsen_US
dc.subjectadaptive samplingen_US
dc.subjectLuftfahrten_US
dc.subjectmaschinelles Lernenen_US
dc.subjectaviationen_US
dc.subjectmachine learningen_US
dc.subjectsurrogate modelen_US
dc.subject.ddc600: Techniken_US
dc.titleDevelopment of an optimised design of experiments methodology for the creation of surrogate modelsen
dc.typeThesisen_US
openaire.rightsinfo:eu-repo/semantics/openAccessen_US
thesis.grantor.departmentFakultät Technik und Informatiken_US
thesis.grantor.departmentDepartment Informations- und Elektrotechniken_US
thesis.grantor.universityOrInstitutionHochschule für Angewandte Wissenschaften Hamburgen_US
tuhh.contributor.refereeGarcia, Jasone Garay-
tuhh.identifier.urnurn:nbn:de:gbv:18302-reposit-209932-
tuhh.oai.showtrueen_US
tuhh.publication.instituteFakultät Technik und Informatiken_US
tuhh.publication.instituteDepartment Informations- und Elektrotechniken_US
tuhh.type.opusMasterarbeit-
dc.type.casraiSupervised Student Publication-
dc.type.dinimasterThesis-
dc.type.drivermasterThesis-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dc.type.thesismasterThesisen_US
dcterms.DCMITypeText-
tuhh.dnb.statusdomainen_US
item.advisorGNDDahlkemper, Jörg-
item.grantfulltextopen-
item.languageiso639-1en-
item.openairetypeThesis-
item.openairecristypehttp://purl.org/coar/resource_type/c_46ec-
item.fulltextWith Fulltext-
item.creatorGNDSahlke, Max-
item.creatorOrcidSahlke, Max-
item.cerifentitytypePublications-
Appears in Collections:Theses
Files in This Item:
File Description SizeFormat
MA_Surrogate Models.pdf9.82 MBAdobe PDFView/Open
Show simple item record

Page view(s)

16
checked on Apr 10, 2025

Download(s)

9
checked on Apr 10, 2025

Google ScholarTM

Check

HAW Katalog

Check

Note about this record


Items in REPOSIT are protected by copyright, with all rights reserved, unless otherwise indicated.