International Journal of Aerospace Engineering / 2019 / Article / Tab 1

Research Article

Forecasting Parameters of Satellite Navigation Signal through Artificial Neural Networks for the Purpose of Civil Aviation

Table 1

Comparison of network structure in individual models.

Model ANN 1. AccuracyModel ANN 2. ContinuityModel ANN 3. AvailabilityModel ANN 4. Integrity

Number of neurons for input5666
Number of neurons in the output layer1111
Number of hidden layers1111
Number of neurons in the hidden layer1822
Division of the training set70/15/1580/10/1070/15/1570/15/15
Training algorithmLevenberg-MarquardtLevenberg-MarquardtLevenberg-MarquardtLevenberg-Marquardt

Source: own study based on structures of artificial neural networks in MALTAB Neural Network Toolbox.

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