Abstract
The article presents a formula apparatus for calculating the main parameters of the F2 layer using empirical coefficients recommended by ITU-R. An approach to recalculation of coefficients using artificial neural networks is proposed. Training, testing and validation of the neural network is based on the use of digital measurements of the ionogram database for the period from 2002 to 2019. The influence of the level of solar activity, geographic location, month and time of day on the efficiency of applying a new set of coefficients is considered. A comparative analysis showed an increase in the forecast accuracy for the critical frequency of the F2 layer by an average of 3.9% and by 15% for the maximum height of the F2 layer.
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