Towards a GPS-based TEC prediction model for Southern Africa with feed forward networks
- 1 July 2009
- journal article
- Published by Elsevier in Advances In Space Research
- Vol. 44 (1) , 82-92
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Application of neural networks to South African GPS TEC modellingAdvances In Space Research, 2009
- Prediction of global positioning system total electron content using Neural Networks over South AfricaJournal of Atmospheric and Solar-Terrestrial Physics, 2007
- A neural network approach for regional vertical total electron content modellingStudia Geophysica et Geodaetica, 2007
- Development of a regional GPS-based ionospheric TEC model for South AfricaAdvances In Space Research, 2007
- Near-real time foF2 predictions using neural networksJournal of Atmospheric and Solar-Terrestrial Physics, 2006
- Forecasting total electron content maps by neural network techniqueRadio Science, 2006
- International Reference Ionosphere 2000Radio Science, 2001
- On the predictability of f0F2 using neural networksRadio Science, 2000
- Neural network modeling of the ionospheric electron content at global scale using GPS dataRadio Science, 1997
- Neural network modeling of solar wind‐magnetosphere interactionJournal of Geophysical Research, 1997