Ionospheric storm forecasting technique by artificial neural network

Annals of Geophysics

Volumn 46, Issue 4, 2003, Pages 719-724

  Cander, Ljiljana R ^a   Milosavljević, Milan M ^b   Tomasević, Saša ^b  

^a RUTHERFORD APPLETON LABORATORY   (United Kingdom)

^b School of Electrical Engineering   (Serbia)

Author keywords

Ionospheric storms modelling; Neural networks; Prediction and forecasting; Space weather

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FORECASTING METHOD; GEOMAGNETIC STORM; IONOSPHERE;

EID: 2042487999     PISSN: 15935213     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. ALTINAY, O., E. TULUNAY and Y. TULUNAY (1997): Forecasting of ionospheric frequency using neural networks, Geophys. Res. Let., 24, 1467-1470.
2. AKAIKE, H. (1969): Fitting autoregressive models for prediction, Ann. Inst. Stat. Mat., 21, 243-247.
3. BISHOP, C.M. (2000): Neural Networks for Pattern Recognition (Oxford University Press, Oxford), pp. 504.
4. CANDER, LJ.R. (1998): Space weather effects on telecommunication, in Al Applications in Solar-Terrestrial Physics, edited by I. SANDAHL and E. JONSSON, ESA WPP-148 Proceedings, 35-42.
5. CANDER, LJ.R. (2003): Toward forecasting and mapping ionospheric space weather under the COST actions. Adv. Space Res., 31 (4), 957-964.
6. CANDER, LJ.R., S. STANKOVIĆ and M. MILOSAVLJEVIĆ (1998a): Dynamic ionospheric prediction by neural networks, in Al Applications in Solar-Terrestrial Physics, edited by I. SANDAHL and E. JONSSON, ESA WPP-148 Proceedings, 225-228.
7. CANDER, LJ.R., M.M. MILOSAVLJEVIĆ, S.S. STANKOVIĆ and S. TOMASEVIĆ (1998b): Ionospheric forecasting technique by artificial neural network, Electron. Lett., 34 (16), 1573-1574.
8. FRANCIS, N.M., A.G. BROWN and P.S. CANNON (2001): Predictionn of the hourly ionospheric parameter foF2 using a novel nonlinear interpolation technique to cope with missing data points, J. Geophys. Res. Space Phys., 106 (A12), 30,415-30,428.
9. FULLER-ROWELL, T., E. ARAUJO-PRADERE and M. CONDRESCU (2000): An empirical ionospheric stort-time correction model, Adv. Space Res., 25 (1), 138-148.
10. LAMMING, X. and LJ.R. CANDER (1998): Monthly median ionospheric frequencies model using neural networks, in Al Applications in Solar-Terrestrial Physics, edited by I. SANDAHL and E. JONSSON, ESA WPP-148 Proceedings, 229-234.
11. LAMMING, X. and LJ.R. CANDER (1999): Monthly median foF2 modelling COST251 area by neural networks, Phys. Chem. Earth (C), 24 (4), 349-354.
12. LE CUN, Y., J.S. DENKER and S.A. SOLLA (1990): Optimal brain demage, in Advances in Neural Information Processing Systems, edited by M. KAUFMAN, vol. 2, 598-605
13. MUHTAROV, P., I. KUTIEV, LJ.R. CANDER, B. ZOLESI, G. DE FRANCESCHI, M.F. LEVY and M. DICK (2001): European ionospheric forecasting and mapping, Phys. Chem. Earth (C), 26 (5), 347-351.
14. MUHTAROV, P., I. KUTIEV and LJ.R. CANDER (2002): Geomagnetically correlated autoregression model for short-term prediction of ionospheric parameters, Inverse Problems, 18, 49-65.
15. KUTIEV, I., P. MUHTAROV, LJ.R. CANDER and M.F. LEVY (1999): Short-term prediction of ionospheric parameters based on auto-correlation analysis, Ann. Geofis., 42 (1), 121-127.
16. WILLISCROFT, L.-A. and A.W.A. POOLE (1996): Neural networks, foF2, sunspot number and magnetic activity, Geophys. Res. Lett., 23, 3659-3662.
17. WINTOFT, P. and LJ.R. CANDER (2000a): Twenty-four hour predictions of foF2 using time delay neural networks, Radio Sci., 35 (2), 395-408.
18. WINTOFT, P. and LJ.R. CANDER (2000b): Ionospheric foF2 storm forecasting using neural networks, Phys. Chem. Earth (C), 25 (4), 267-273.