Title :
Regional Ionosphere Mapping By Using Neural Networks
Author :
Gürün, Melike ; Aklogan, K.E. ; Yilmaz, Atila
Author_Institution :
ODTU, Ankara
Abstract :
Regional ionosphere mapping is necessary to understand the underlying characteristics of ionosphere. In this paper, multilayer perceptrons and radial basis networks, as chosen neural network methods, are used to obtain a map of ionosphere based on a number of given (Total Electron Content) TEC values. For varying number of given data and locations, their performances are analyzed and compared. Their performances are also tested for artificially formed data points and they are applied to real data from GPS stations and IRI.
Keywords :
Global Positioning System; ionosphere; multilayer perceptrons; radial basis function networks; GPS stations; international reference ionosphere; multilayer perceptrons; neural networks; radial basis networks; regional ionosphere mapping; total electron content values; Artificial neural networks; Electrons; Global Positioning System; Ionosphere; Multi-layer neural network; Multilayer perceptrons; Neural networks; Performance analysis; Performance evaluation; Testing;
Conference_Titel :
Recent Advances in Space Technologies, 2007. RAST '07. 3rd International Conference on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-1057-6
Electronic_ISBN :
1-4244-1057-6
DOI :
10.1109/RAST.2007.4284029
