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dc.contributor.authorKonakoglu, Berkant
dc.contributor.authorAydemir, Salih Berkan
dc.contributor.authorOnay, Funda Kutlu
dc.date.accessioned2024-03-12T19:28:46Z
dc.date.available2024-03-12T19:28:46Z
dc.date.issued2022
dc.identifier.issn1532-0626
dc.identifier.issn1532-0634
dc.identifier.urihttps://doi.org/10.1002/cpe.7017
dc.identifier.urihttps://hdl.handle.net/20.500.12450/2033
dc.description.abstractIn the present article, the efficiency of a new hybrid learning method, named artificial neural network with gradient-based optimizer algorithm (ANN-GBO), is investigated to determine a local geoid. The outcomes of the assessed method are compared with classical ANN (without GBO), some metaheuristic-based ANN models and other study results (interpolation methods). Four commonly used performance metrics, root mean square error (RMSE), mean absolute error (MAE), mean absolute relative error (MARE) and coefficient of determination (R-2) have been used to assess the applied methods. Assessment of predictions revealed that ANN-GBO yielded the best results (RMSE: 10.51 cm, MAE: 8.26 cm, MARE: 0.27 cm, and R-2: 0.9622). The outcomes of the work clearly show that the ANN-GBO approach has the lowest prediction error compared with ANN. It can be said that the GBO algorithm enhances the ANN capability in local geoid modeling. It may be recommended to optimize the weights of the ANN with GBO for high prediction accuracy. This research can be extended to other regions.en_US
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.ispartofConcurrency And Computation-Practice & Experienceen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectartificial neural networken_US
dc.subjectGNSSen_US
dc.subjectleveling measurementsen_US
dc.subjectgradient-based optimizer algorithmen_US
dc.subjectmetaheuristic algorithmsen_US
dc.subjectmodeling local geoiden_US
dc.titleApplication of a metaheuristic gradient-based optimizer algorithm integrated into artificial neural network model in a local geoid modeling with global navigation satellite systems/leveling measurementsen_US
dc.typearticleen_US
dc.departmentAmasya Üniversitesien_US
dc.authoridKUTLU ONAY, Funda/0000-0002-8531-4054
dc.authoridKonakoglu, Berkant/0000-0002-8276-587X
dc.authoridaydemir, salih berkan/0000-0003-0069-3479
dc.identifier.volume34en_US
dc.identifier.issue18en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-85128164147en_US
dc.identifier.doi10.1002/cpe.7017
dc.department-temp[Konakoglu, Berkant] Amasya Univ, Dept Architecture & Urban Planning, Amasya, Turkey; [Aydemir, Salih Berkan; Onay, Funda Kutlu] Amasya Univ, Dept Comp Engn, Amasya, Turkeyen_US
dc.identifier.wosWOS:000782667100001en_US
dc.authorwosidKUTLU ONAY, Funda/JDW-0374-2023
dc.authorwosidKonakoglu, Berkant/GQB-2641-2022


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