Title :
Ionospheric forecasting technique by artificial neural network
Author :
Cander, Lj.R. ; Milosavljevic, M.M. ; Stankovic, S.S. ; Tomasevic, S.
Author_Institution :
Rutherford Appleton Lab., Chilton, UK
fDate :
8/6/1998 12:00:00 AM
Abstract :
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 are presented to show the appropriateness of the proposed technique
Keywords :
F-region; electron density; geophysics computing; ionospheric electromagnetic wave propagation; ionospheric techniques; neural nets; radiowave propagation; F2-layer; artificial neural network; critical penetration frequency; ionospheric forecasting technique; predicted values; total electron content;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19981113
