Neural Network Models of Earth Geophysical Fields for a Physical Polygon

This paper deals with the possibility of constructing models neural network spatial and surface of the Earth fields for navigation of uncrewed vehicles. The authors present the possibility of constructing a neural network model of a multigeophysical field based on their combination. An example illustrates the neural network model realization for a relief field.