Towards a GPS-based TEC prediction model for Southern Africa with feed forward networks

Advances in Space Research

Volumn 44, Issue 1, 2009, Pages 82-92

  Habarulema, John Bosco ^a,b   McKinnell, Lee Anne ^a,b   Opperman, Ben D L ^a  

^a HERMANUS MAGNETIC OBSERVATORY   (South Africa)

^b RHODES UNIVERSITY   (South Africa)

Author keywords

GPS; Ionosphere; Neural network applications; TEC predictions

Indexed keywords

FORECASTING; IONOSPHERE; MAGNETIC LEVITATION VEHICLES; SOLAR ENERGY;

DIURNAL VARIATION; FEED-FORWARD NETWORK; GEOGRAPHIC POSITIONS; MAGNETIC ACTIVITY; NEURAL NETWORK APPLICATION; PREDICTION ACCURACY; SEASONAL VARIATION; TOTAL ELECTRON CONTENT;

GLOBAL POSITIONING SYSTEM;

EID: 67349228439     PISSN: 02731177     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asr.2009.02.016     Document Type: Article

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