An artificial neural network method is applied to the development of a
n ionospheric forecasting technique for one hour ahead. Comparisons be
tween the observed and predicted values of the critical frequency of t
he F-2 layer, foF2, and the total electron content (TEC) are presented
to show the appropriateness of the proposed technique.