Prediction of geoid heights using the MLP ANN method at a regional scale
The aim of this study is to construct a regional geoid model using the MLP ANN method and to assess its accuracy with GNSS–levelling data for the Vinnytsia region, both within and without the application of the “Remove–Compute–Restore” procedure. Method. The construction of a geoid model using artificial neural networks (ANN) is a modern approach that integrates classical geodetic methods with intelligent data processing technologies. The main idea is to apply machine learning algorithms to establish nonlinear relationships between various input geophysical parameters and the geoid height.