Neural networks, foF2, sunspot number and magnetic activity

Geophysical Research Letters

Volumn 23, Issue 24, 1996, Pages 3659-3662

  Williscroft, Lee Anne ^a   Poole, Allon W V ^a  

^a RHODES UNIVERSITY   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

FORECASTING; GEOPHYSICS; MAGNETIC FIELDS; NEURAL NETWORKS; SUN; ERRORS; IONOSPHERE; MAGNETISM; SOLAR ENERGY; SOLAR RADIATION;

MAGNETIC ACTIVITY; SOLAR ACTIVITY; SUNSPOT NUMBER;

IONOSPHERIC ELECTROMAGNETIC WAVE PROPAGATION; MAGNETIC LEVITATION VEHICLES;

INTERNATIONAL REFERENCE IONOSPHERES; MAGNETIC ACTIVITY; NEURAL NETWORKS (NNS); NEW APPLICATIONS; OPTIMUM PARAMETERS; SOLAR ACTIVITY; SUNSPOT CYCLES; SUNSPOT NUMBER;

EID: 0030386647     PISSN: 00948276     EISSN: None     Source Type: Journal    
DOI: 10.1029/96GL03472     Document Type: Article

References (5)

1. Haykin, S. Neural Networks: A Comprehensive Foundation, Macmillan College Publishing Company, New York, 1994.
2. Hill, J.N., and T.H. Koschmieder, Neural Networks for several ionogram features, Radio Sci., 30, 1831-1840, 1995.
3. Bilitza, D., International Reference Ionosphere, National Space Science Data center, 1990.
4. NeuralWare, Inc., NeuralWorks Predict Release A11, United States of America, 1995.
5. Wu, J., and H. Lundstedt, Prediction of geomagnetic storms from solar wind data using Elman recurrent neural networks, Geophys. Res. Lett., 23, 319-322, 1996.