A comparison of geoid height obtained with adaptive neural fuzzy inference systems and polynomial coefficients methods

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dc.contributor.authorTusat E.
dc.date.accessioned2020-03-26T18:22:07Z
dc.date.available2020-03-26T18:22:07Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThree-dimensional (horizontal, vertical and ellipsoidal heights) coordinates of a point can be obtained using the GNSS (global navigation satellite system) systems. Although, ellipsoid heights have a geometrical meaning, height is actually a geopotential value. Therefore, determination of physical reference surface (sea level or geoid) is of particular importance in geodetic studies. Although, GNSS observations provide ellipsoidal heights (h), in practice, orthometric height (H) is used. Since the relationship between these two heights is H=h-N, geoid undulations (N) that provide transition between ellipsoidal heights and orthometric heights need to be known. In this comparison of geoid height calculation methods, a network of 126 points was chosen within the borders Adiyaman in South-eastern Turkey. Reference geoid heights were determined according to the GNSS/levelling method across the entire network. The heights of these points were then remodelled according to both the adaptive neural fuzzy inference systems (ANFIS) and the polynomial coefficients methods. In the modelling procedure, 106 points were used to develop the two models and the remaining 20 points were used to test the results obtained from each model. The geoid heights obtained via both remodelling methods were compared with reference data from the GNSS/levelling method and the results of the comparison were interpreted. © 2011 Academic Journals.en_US
dc.identifier.endpage795en_US
dc.identifier.issn1992-1950en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage789en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27156
dc.identifier.volume6en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Physical Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectAdaptive neural fuzzy inference systems (ANFIS)en_US
dc.subjectFuzzy inference systemsen_US
dc.subjectGeoiden_US
dc.subjectGeoid heighten_US
dc.subjectGlobal positioning system (GPS)/levellingen_US
dc.subjectSurface polynomialsen_US
dc.titleA comparison of geoid height obtained with adaptive neural fuzzy inference systems and polynomial coefficients methodsen_US
dc.typeArticleen_US

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