Modelling of foF(2) using neural networks at an equatorial anomaly station

摘要

The critical frequency of the F-2-layer (foF(2)) is an important parameter in estimating the total electron content (TEC) of the ionosphere, which is necessary for predicting the ionospheric time delay in GPS applications. The foF(2) data from Ahmedabad, which is in the equatorial anomaly region, are modelled using a multilayer neural network trained with back-propagation algorithm. The IRI-2001 model together with this neural network model can be used for predicting/forecasting of the foF(2) parameter within the Indian subcontinent. The foF(2) values thus predicted can be used to estimate the critical TEC parameter.