Yazar "Konakoglu, Berkant" için listeleme
-
Application of a metaheuristic gradient-based optimizer algorithm integrated into artificial neural network model in a local geoid modeling with global navigation satellite systems/leveling measurements
Konakoglu, Berkant; Aydemir, Salih Berkan; Onay, Funda Kutlu (Wiley, 2022)In 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 ... -
Geoid undulation prediction using ANNs (RBFNN and GRNN), multiple linear regression (MLR), and interpolation methods: A comparative study
Konakoglu, Berkant; Akar, Alper (Univ Nacional De Colombia, 2021)This study evaluated different methods for geoid undulation prediction and included two types of artificial neural networks (ANNs) -the radial basis function neural network (RBFNN) and the generalized regression neural ... -
GEOID UNDULATION PREDICTION USING GAUSSIAN PROCESSES REGRESSION: A CASE STUDY IN A LOCAL REGION IN TURKEY
Konakoglu, Berkant; Akar, Alper (Acad Sci Czech Republic Inst Rock Structure & Mechanics, 2021)In order to convert ellipsoidal heights obtained by the Global Navigation Satellite System (GNSS) to orthometric heights, it is necessary to know the distance between the ellipsoidal and geoid surface, called the geoid ... -
Investigation of the Effects of Tectonic Movements Occurring in Elazig and Surrounding Provinces on the Positions of TNPGN-Active Stations by Using Static Deformation Models
Konakoglu, Berkant; Akar, Alper (Geomatik Journal, 2021)Turkish National Permanent GNSS Network-Active ( TNPGN-Active) Project serves their users with a total of 158 permanent stations, including the Turkish Republic of Northern Cyprus and Turkey. The movements caused by ... -
Prediction of geodetic point velocity using MLPNN, GRNN, and RBFNN models: a comparative study
Konakoglu, Berkant (Springer, 2021)The prediction of an accurate geodetic point velocity has great importance in geosciences. The purpose of this work is to explore the predictive capacity of three artificial neural network (ANN) models in predicting geodetic ... -
Prediction of geoid undulation using approaches based on GMDH, M5 model tree, MARS, GPR, and IDP
Konakoglu, Berkant; Akar, Alper (Springer, 2022)This study provides a comprehensive comparison of four different machine learning models including the group method of data handling (GMDH), M5 model tree (M5MT), multivariate adaptive regression spline (MARS), and Gaussian ... -
Prediction of geoid undulations: Random forest versus classic interpolation techniques
Akar, Alper; Konakoglu, Berkant; Akar, Ozlem (Wiley, 2022)Local geoid determination studies are commonly carried out today to establish the relationship between the ellipsoidal height (h)$$ (h) $$ determined by satellite geodesy methods and the orthometric height (H)$$ (H) $$ ... -
Tropospheric zenith wet delay prediction with a new hybrid ANN-Gorilla troops optimizer algorithm
Konakoglu, Berkant; Onay, Funda Kutlu; Aydemir, Salih Berkan (Elsevier Sci Ltd, 2023)In recent years, machine learning techniques, especially artificial neural networks (ANN), have been widely applied for engineering problems since they have proven to be a good predictor, especially in accurate weather ...
