id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
esrj-91195	Konakoglu, Berkant; Akar, Alper	Geoid undulation prediction using ANNs (RBFNN and GRNN), multiple linear regression (MLR), and interpolation methods: A comparative study	2022	12	.pdf	application/pdf	8403	442	53	Geoid undulation prediction using ANNs (RBFNN and GRNN), multiple linear regression (MLR), and interpolation methods: A comparative study Berkant Konakoglua* and Alper Akarb aTechnical Sciences Vocational School, Amasya University, Amasya, Turkey bVocational School, Erzincan Binali Yıldırım University, Erzincan, Turkey *Corresponding author: berkantkonakoglu@amasya.edu.tr Keywords: Generalized regression neural network (GRNN); Radial basis function neural network (RBFNN); Multiple linear regression (MLR); Interpolation methods; Geoid determination Palabras clave: red neuronal de regresión generalizada; red neuronal de base radial; regresión lineal múltiple; métodos de interpolación; determinación geoide. Interpolation methods RMSE (m) MAE (m) NSE Krig 0.143 0.095 0.98961 IDP 0.207 0.164 0.97842 TLI 0.159 0.102 0.98729 MCS 0.178 0.110 0.98409 NN 0.142 0.097 0.98986 NRN 0.275 0.217 0.96196 LP 0.171 0.130 0.98532 RBF 0.188 0.122 0.98214 PR 0.462 0.345 0.89245 MS 0.404 0.206 0.91746 379Geoid undulation prediction using ANNs (RBFNN and GRNN), multiple linear regression (MLR), and interpolation methods: A comparative study Figure 8.	cache/esrj-91195.pdf	txt/esrj-91195.txt