Wavelet neural networks using particle swarm optimization training in modeling regional ionospheric total electron content

Wavelet neural networks (WNNs) are a new class of neural networks (NNs) that has been developed using a combined method of multi-layer artificial neural networks and wavelet analysis (WA). In this paper, WNNs is used for modeling and prediction of total electron content (TEC) of ionosphere with high...

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Veröffentlicht in:	Journal of atmospheric and solar-terrestrial physics 2016-11, Vol.149, p.21-30
Hauptverfasser:	Ghaffari Razin, Mir Reza, Voosoghi, Behzad
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Global Positioning System GPS Ionosphere Mathematical models Neural networks PSO Satellite navigation systems SNN Swarm intelligence Training WNN
Online-Zugang:	Volltext
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