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An artificial neural network method is applied to the development of an ionospheric forecasting technique for one hour ahead. Comparisons between the observed and predicted values of the critical frequency of the F2 layer, foF2, and the total electron content (TEC) are presented to show the appropriateness of the proposed technique.
Inspec keywords: ionospheric electromagnetic wave propagation; geophysics computing; ionospheric techniques; neural nets; F-region; radiowave propagation; electron density
Other keywords:
Subjects: Ionospheric structure; Geophysics computing; Instrumentation and techniques for aeronomy, space physics, and cosmic rays; F-region; Radiowave propagation; Ionospheric electromagnetic wave propagation; Neural computing techniques; Atmospheric, ionospheric and magnetospheric techniques and equipment