Abstract
A reliable ionospheric model is very important in such fields as satellite positioning and surveying, radiocommunication, space weather and so on. In this way, a correct calculation of Total Electron Content would have many useful implications. In this paper, a novel approach based on Support Vector Machines and used for Total Electron Content estimation is described. It exploits Global Positioning System observables, with encouraging results.
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