Regional Ionosphere Mapping By Using Neural Networks

Author

Gürün, Melike ; Aklogan, K.E. ; Yilmaz, Atila

Author_Institution

ODTU, Ankara

fYear

2007

fDate

14-16 June 2007

Firstpage

44

Lastpage

49

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/RAST.2007.4284029

Filename

4284029