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dc.contributor.authorBohdal, Róbert
dc.contributor.authorBohdalová, Mária
dc.contributor.authorKohnová, Silvia
dc.contributor.editorSkala, Václav
dc.date.accessioned2018-05-21T07:11:16Z-
dc.date.available2018-05-21T07:11:16Z-
dc.date.issued2017
dc.identifier.citationWSCG '2017: short communications proceedings: The 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 29 - June 2 2017, p. 59-66.en
dc.identifier.isbn978-80-86943-45-9
dc.identifier.issn2464-4617
dc.identifier.uriwscg.zcu.cz/WSCG2017/!!_CSRN-2702.pdf
dc.identifier.urihttp://hdl.handle.net/11025/29735
dc.description.abstractEstimation of design rainfall in unobservable places is important in hydrological engineering. The aim of this paper is to use genetic algorithms to find the optimal global and local shape parameters of radial basis functions (RBFs) to create an interpolation model to estimate scaling exponents of short term rainfalls across selected regions of Slovakia. Scaling exponents can be used later to estimate rainfalls intensity in places without observations. In this paper, we have used interpolation methods based on RBFs to model interpolation surfaces. We investigate the properties of shape parameters in RBFs, and we test some methods for finding an optimal shape parameter. The choice of the best basis function along with the optimal shape parameter has a significant impact on the accuracy of the interpolation models which best approximate the real model. We have found that Hardy’s multiquadrics interpolant with the optimal local shape parameters can be used for estimation the rainfall intensities in areas without direct observation.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2017: short communications proceedingsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectradiální funkcecs
dc.subjectgenerické algoritmycs
dc.subjectmetoda tenkých ohebných plátkùcs
dc.subjectparametry tvarucs
dc.subjectvodní srážkycs
dc.titleUsing genetic algorithms to estimate local shape parameters of RBFsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedradial basis functionsen
dc.subject.translatedgenetic algorithmsen
dc.subject.translatedthin plate splineen
dc.subject.translatedshape parametersen
dc.subject.translatedrainfallen
dc.type.statusPeer-revieweden
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