Modeling and predicting sunspot activity - State space reconstruction + artificial neural network methods

Geophysical Research Letters

Volumn 25, Issue 4, 1998, Pages 457-460

  Kulkarni, D R ^a   Pandya, A S ^a,b   Parikh, J C ^a  

^a PHYSICAL RESEARCH LABORATORY   (India)

^b Florida Atlantic Univ   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SOLAR ENERGY; MATHEMATICAL MODELS; NEURAL NETWORKS; STATE SPACE METHODS; SUN; TIME SERIES ANALYSIS;

ARTIFICIAL NEURAL NETWORK APPROACH; ARTIFICIAL NEURAL NETWORK METHODS; NON-PARAMETRIC; SOLAR ACTIVITY; STATE SPACE RECONSTRUCTION; STRUCTURAL ASPECTS; SUNSPOT ACTIVITY;

NEURAL NETWORKS; SPACE RESEARCH;

SUNSPOT ACTIVITY;

EID: 0031998697     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/98GL00136     Document Type: Article

References (12)

1. Abarbanel H. D. I., R. Brown , J. J. Sidorowich, and L. Sh. Tsimiring, The Analysis of Observed Chaotic Data in Physical Systems. Rev. Mod. Phys., 65, 1331-1392, 1993.
2. Box G. E. P., and G. M. Jenkins, Time Series Analysis : Forecasting and Control, 2nd edition. Holden Day, San Francisco, 1976.
3. Hertz J., A. Krogh, and R. G. Palmer. Introduction to the Theory of Neural Computation, 327 pp., Addison-Wesley, California, 1991.
4. Kane R. P., A Preliminary Estimate of the Size of the Coming Solar Cycle 23, Based on Ohl's Precurser Method, Geophys. Res. Lett., 24, 1899-1902, 1997.
5. Kulkarni D. R., J. C. Parikh, and R. Pratap, Simulation of Characteristic and Artificial Neural Network Modeling of Electroencephalograph Time Series, Phys. Rev., E55, 4508-4511, 1997.
6. Kulkarni D. R., A. S. Pandya, and J. C. Parikh, Dynamic Predictions from Time Series Data - An Artificial Neural Network Approach, International Journal of Modern Physics C. in press, 1997.
7. Mundt M. D., W. B. Maguire II, and R. R. P.Chase, Chaos in the Sunspot Cycle: Analysis and Prediction, Jour. Geophys. Res., 96, 1705-1716, 1991.
8. Packard N. H., J. P. Crutchfield, J. D. Farmer, and R. S. Shaw, Geometry from Time Series, Phys. Rev. Lett., 45, 712-716, 1980.
9. Ruelle D., and J. P. Eckmann, Ergodic Theory of Chaos and Strange Attractors", Rev. Mod. Phys., 57, 617-656, 1985.
10. Schatten K. and Myers D. J., Solar Activity Forecast for Solar Cycle 23, Geophys. Res. Lett., 23, 605-608, 1996.
11. Weigend A. S., B. A. Huberman, and D. E. Rumelhart, Predicting the Future: A Connectionist Approach, Int. Jour. Neur. Sys., 1, 193-209, 1990.
12. Weigend A. S., and N. S. Gershenfeld (Eds), Time Series Prediction, 650pp., Addison Wesley, Massachusetts, 1994.