Temporal and spatial forecasting of ionospheric critical frequency using neural networks

Radio Science

Volumn 34, Issue 6, 1999, Pages 1497-1506

  Kumluca, Ayca ^a   Tulunay, Ersin ^a   Topalli, Ihsan ^a   Tulunay, Yurdanur ^b  

^a MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; GEOMAGNETISM; MATHEMATICAL MODELS; NEURAL NETWORKS; WEATHER FORECASTING; F REGION; MAGNETIC LEVITATION VEHICLES; SOLAR ENERGY;

IONOSPHERIC CRITICAL FREQUENCY;

IONOSPHERE; ERRORS;

CRITICAL FREQUENCIES; GEOMAGNETIC INDICES; HIDDEN NEURONS; MAGNETIC FIELD COMPONENTS; NEURAL NETWORK STRUCTURES; PHYSICAL CHARACTERISTICS; SOLAR 10.7 CM RADIO FLUXES; TEMPORAL AND SPATIAL;

EID: 0033226131     PISSN: 00486604     EISSN: None     Source Type: Journal    
DOI: 10.1029/1999RS900070     Document Type: Article

References (20)

1. Altinay, O., Nonlinear blackbox modeling of ionospheric critical frequency process using neural networks", M.S. thesis, Electr. and Electron. Eng. Dep., Middle East Tech. Univ., Ankara, Turkey, June 1997.
2. Altinay, O., E. Tulunay, and Y. Tulunay, Prediction of ionospheric critical frequency using neural networks, COST 251 (Improved Quality of Ionospheric Telecommunication Systems Planning and Operation), Third Management Committee Meeting, Tech. Doc.COST 251TD(96)016, Erice, Italy, March 5-9, 1996.
3. Altinay, O., E. Tulunay, and Y. Tulunay, Forecasting of ionospheric critical frequency using neural networks, Geophys. Res. Lett., 24, 1467-1470, 1997.
4. Bishop, C. M., Neural networks and their applications - Review article, Rev. Sci. Instrum. 65(6), 1803-1832, June 1994.
5. Bradley, P. A.(Ed.), COST 238-PRIME (Prediction and retrospective ionospheric modelling over Europe) final report, advance issue, Comm. of the Eur. Commun., Brussels, Belgium, October 1995.
6. th International Conference on Antennas and Propagation, IEE Conf. Publ, 436, 2.27-2.30, 1997.
7. Cichocki, A., and R. Unbehauen, Neural Networks for Optimization and Signal Processing, John Wiley, New York, 1993.
8. 2, in AI Applications in Solar-Terrestrial Physics, edited by I. Sandhal and E. Jonsson, ESA WPP-148, 219-223, 1998.
9. Haykin, S., Neural Networks: A Comprehensive Foundation, Macmillan. Indianapolis, Indiana, 1994.
10. Kumluca, A., E. Tulunay, and Y. Tulunay, Relative significance of inputs to a neural network, in Engineering Applications of Neural Networks, pp. 361-364, Systeemi tekniikan seura ry, Abo, Finland, 1997.
11. Lamming, X., and L.R. Cander, Approprietness of the neural network approach for monthly median ionospheric prediction, COST 251 (Improved quality of ionospheric prediction, Fourth Management Committee Meeting, COST 251 DOC4023, Prague, Czech Republic, September 27, 1996.
12. Levin, A. U., and K.S. Narendra, Control of nonlinear dynamical systems using neural networks, II, Observability, identification, and control, IEEE Trans. on Neural Networks, 7(1), 30-42, January 1996.
13. Lundstedt, H., AI techniques in geomagnetic storm forecasting, in Magnetic Storms, Geophys. Monogr. Ser., vol. 98, edited by B.T. Tsurutani et al., pp. 243-252, AGU, Washington, D.C., 1997.
14. nd ed., World Data Cent. A for Sol. Terr. Phys., Boulder, Colo., July 1978.
15. Prölls, G.W., Ionospheric F-region storms, Handbook of Atmospheric Electrodynamics, vol. II, edited by H. Volland, pp. 195-248, CRC Press, Boca Raton, Fla., 1980.
16. Psaltis, D., A. Sideris, and A.A. Yamamura, A multilayered neural network controller, IEEE Control Syst. Mag., 8(2), 17-21, April 1988.
17. Tulunay, E., Introduction to neural networks and their applications to process control, in Neural Networks: Advances and Applications, edited by E. Gelenbe, pp. 241-273, Elsevier, New York, 1991.
18. Tulunay, Y., Interplanetary magnetic field and its possible effects on the mid-lattitude ionosphere II, Ann. Geofis., 17(2), 193-200, May 1994.
19. 2 process modeling, Report submitted to WG3 Development of Models, WP 3.4.4. Forecast Models, Third Management Committee Meeting, COST 251 DOC 3052, Erice, Italy, March 5-9, 1996.
20. 2, sunspot number and magnetic activity, Geophys. Res. Lett., 23, 3659-3662, 1996.