Improving surrogate models through exploration and exploitation sampling

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Nussbaum, Madlene
dc.contributor.author	Demmers, David
dc.date.accessioned	2024-07-24T23:04:40Z
dc.date.available	2024-07-24T23:04:40Z
dc.date.issued	2024
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/46879
dc.description.sponsorship	Utrecht University
dc.language.iso	EN
dc.subject	To best train surrogate models of complex geo-scientific computer sumulations what sampling methods can be employed to most efficiently sample the whole feature space for exploration and what methods can be used in a exploitation manner to better sample several regions of interest like equilibria.
dc.title	Improving surrogate models through exploration and exploitation sampling
dc.type.content	Master Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	sampling; hill-slope; surrogate; simulation;
dc.subject.courseuu	Applied Data Science
dc.thesis.id	34898