On the application of information theory to the optimum state-space reconstruction of the short-term solar radio flux (10.7 cm), and its prediction via a neural network

Monthly Notices of the Royal Astronomical Society

Volumn 323, Issue 1, 2001, Pages 101-108

  Chatterjee, T N ^a  

^a DINABANDHU ANDREWS COLLEGE   (India)

Author keywords

Methods: data analysis; Sun: atmosphere; Sun: radio radiation

Indexed keywords

BACKPROPAGATION; FORECASTING; SIMULATED ANNEALING; TIME SERIES;

METHODS. DATA ANALYSIS; MULTI-LAYER FEED FORWARD; NEURAL-NETWORKS; SHORT TERM PREDICTION; SOLAR RADIO FLUX; STATE SPACE RECONSTRUCTION; STATE-SPACE; SUN: ATMOSPHERE; SUN: RADIO RADIATION; TIMES SERIES;

INFORMATION THEORY;

EID: 0041412632     PISSN: 00358711     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-8711.2001.04110.x     Document Type: Article

References (33)

1. Abarbanel H. D., Brown R., Sidorowich J. J., Tsimring L. Sh., 1993, Rev. Mod. Phys., 65 (4), 1331
2. Aso T., Ogawa T., 1993, in Joselyn J. A., Lundstedt H. K., Trolinger J., eds, Proc. Int. Workshop on Artificial Intelligence Applications in Solar Terrestrial Physics. NOAA Space Environment Laboratory, Boulder, CO
3. Bose N. K., Liang P., 1996, Neural Network Fundamentals with Graphs, Algorithms and Applications. Tata McGraw-Hill, New Delhi
4. Chatterjee T. N., Das T. K., 1995, MNRAS, 274, 858
5. Conway A. J., 1998, http://www.astro.gla.ac.uk/preprints/paper.php4?id=7
6. Das T. D., Chatterjee T. N., 1996, MNRAS, 278, 6
7. Donnelly R. F., Puga L. C., 1990, Sol. Phys., 130, 369
8. Eubank S., Farmer D., 1990, in Jen E., ed., Lectures in Complex Systems, SFI studies in the science of complexity, Lect. Vol. II. Addison-Wesley, Reading, MA, p. 75
9. Fahlman S. E., 1989, in Hinton G., Touretzky D., Sejnowski T., eds, Proc. 1988 Connectionist Models Summer School. Morgan Kaufmann, San Mateo, CA
10. Fessant F., Pierret C., Lantos P., 1996, Sol. Phys., 168, 423
11. Grassberger P., Procaccia I., 1983, Phys. Rev. Lett., 50, 346
12. Guckenheimer G., Homes P., 1983, Non-linear Oscillations, Dynamical Systems and Bifurcations of Vector Fields. Springer, New York
13. Kirkpatrick S., Glatt C. D., Jr, Vecchi M. P., 1983, Sci, 220, 671
14. Koons H. C., Gorney D. J., 1990, EOS Trans., 71, 677
15. Kosko B., 1992, Neural Networks and Fuzzy Systems. Prentice Hall, Englewood Cliffs, NJ
16. Lanzerotti L. J., 1983, Space Sci. Rev., 34, 347
17. Lapedes A., Farber R., 1987, Nonlinear signal processing using neural networks: Prediction and system modeling, Technical Report LA-UR-87-2662. Los Alamos National Laboratory, Los Alamos, NM
18. Lundstedt H., 1992, Planet. Space Sci., 40:4, 457
19. Lundstedt H., Winloft P., 1994, Ann. Geophys., 12, 19
20. Macpherson K., 1993, Adv. Space Res., 13:9, 447
21. Ohl A. I., 1966, Soln. Dann., No. 12, 84
22. Ohl A. I., 1976, Soln. Dann., No. 12, 84
23. Powelzik K., Schuster H. G., 1987, Phys. Rev. A, 28, No. 4, 2591
24. Rumelhart D. E., Hinton E. E., Williams R. J., 1986, Nat, 323, 533
25. Shanon C. E., 1948, Bell Syst. Tech. J., 28, 657
26. Sharda R., Patil R., 1990, Int. Joint Conf. on Neural Networks, Vol. 1. IEEE, Washington DC, p. 491
27. Takens P., 1981, in Rand D. A., Young L. S., eds, Lecture Notes in Mathematics, Dynamical Systems and Turbulence. Springer, Berlin, p. 336
28. Tian J., 1996, in Heckman G., Marubashi K., Shea M. A., Smart D. F., Thompson R., eds, Proc. Solar Terrestrial Prediction Workshop
29. Tong H., Lim K., 1980, J. R. Statist. Soc. B, 42, 245
30. Wan E. A., 1993, in Weigend A. S., Gershenfeld N. A., eds, Time Series Prediction: Forecasting the Future and Understanding the Past. Addison-Wesley, Reading, MA, p. 195
31. Weigend A., Huberman B., Rumelhart D., 1990, Predicting the Future: A Connectionist Approach, Technical Report, Stanford-PDP-90-01. Stanford University, Stanford, CA
32. Welsh D., 1987, Codes and cryptography. Clarendon Press, Oxford, pp. 1-3
33. Wilson P. R., 1994, Solar and Stellar Activity Cycles. Cambridge Univ. Press, Cambridge