The use of artificial neural network in geoid surface approximation

Miran Kuhar;Bojan Stopar;Goran Turk;Tomazÿ Ambrozÿicÿ

Local geoid surface can be modelled by the approximation function by the least squares method. An alternative method of approximation is the use of artificial neural networks (ANN). The ANN approximation has been tested in various test areas. It has been concluded that ANN may efficiently approximate real geoid heights on the chosen area.

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