Geodesic
The forecasting of the ionospheric $E_s$ layer critical frequency based on neural network computation techniques
Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, Tome 148 (2006) no. 1, pp. 7-11

Voir la notice du chapitre de livre provenant de la source Math-Net.Ru

The aim of this paper is to consider some problems of application of artificial neural networks for prediction of parameters of an ionosphere such as the sporadic Es layer critical frequency, $f_oE_s$, defined of electron's density the relevant heights. The character of interaction of radiowaves with an ionosphere depends on its value, therefore forecasting of $f_oE_s$ has essential applied significance. For prediction the artificial neural network is used. The choice of such approach is stipulated by that as in comparison with conventional methods of the forecasting the neural network is not bound to particular model of a predictablis phenomenon and the functional dependence is appeared during tutoring a network on the forecasting of particular parameter. As a result the neural network model of the forecasting of Es critical frequency is constructed, and the comparison with a conventional method of the forecasting operating the LS method is carried out. The results of comparison display better accuracy of the forecasting based on the use of artificial neural network. 
@article{UZKU_2006_148_1_a0,
     author = {A. O. Kuhovarenko and Yu. M. Stenin},
     title = {The forecasting of the ionospheric $E_s$ layer critical frequency based on neural network computation techniques},
     journal = {U\v{c}\"enye zapiski Kazanskogo universiteta. Seri\^a Fiziko-matemati\v{c}eskie nauki},
     pages = {7--11},
     publisher = {mathdoc},
     volume = {148},
     number = {1},
     year = {2006},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/UZKU_2006_148_1_a0/}
}
TY  - JOUR
AU  - A. O. Kuhovarenko
AU  - Yu. M. Stenin
TI  - The forecasting of the ionospheric $E_s$ layer critical frequency based on neural network computation techniques
JO  - Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki
PY  - 2006
SP  - 7
EP  - 11
VL  - 148
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/UZKU_2006_148_1_a0/
LA  - ru
ID  - UZKU_2006_148_1_a0
ER  - 
%0 Journal Article
%A A. O. Kuhovarenko
%A Yu. M. Stenin
%T The forecasting of the ionospheric $E_s$ layer critical frequency based on neural network computation techniques
%J Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki
%D 2006
%P 7-11
%V 148
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/UZKU_2006_148_1_a0/
%G ru
%F UZKU_2006_148_1_a0
A. O. Kuhovarenko; Yu. M. Stenin. The forecasting of the ionospheric $E_s$ layer critical frequency based on neural network computation techniques. Učënye zapiski Kazanskogo universiteta. Seriâ Fiziko-matematičeskie nauki, Kazanskii Gosudarstvennyi Universitet. Uchenye Zapiski. Seriya Fiziko-Matematichaskie Nauki, Tome 148 (2006) no. 1, pp. 7-11. http://geodesic.mathdoc.fr/item/UZKU_2006_148_1_a0/