Title: Using genetic algorithms to estimate local shape parameters of RBFs
Authors: Bohdal, Róbert
Bohdalová, Mária
Kohnová, Silvia
Citation: WSCG '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.
Issue Date: 2017
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2017/!!_CSRN-2702.pdf
ISBN: 978-80-86943-45-9
ISSN: 2464-4617
Keywords: radiální funkce;generické algoritmy;metoda tenkých ohebných plátkù;parametry tvaru;vodní srážky
Keywords in different language: radial basis functions;genetic algorithms;thin plate spline;shape parameters;rainfall
Abstract: Estimation 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.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2017: Short Papers Proceedings

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