Regional ionosphere mapping by using neural networks

Date

2007-06-16

Author

Gueruen, Melike
Akdogan, Kurtulu Erinc
YILMAZ, ATİLA

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Ionosphere, Neural networks, Multilayer perceptrons, Artificial neural networks, Multi-layer neural network, Electrons, Performance analysis, Performance evaluation, Testing, Global positioning system

URI

https://hdl.handle.net/11511/67310

DOI

https://doi.org/10.1109/rast.2007.4284029

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Citation Formats

M. Gueruen, K. E. Akdogan, and A. YILMAZ, “Regional ionosphere mapping by using neural networks,” 2007, p. 44, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/67310.