Neural-network-based prediction techniques for single station modeling and regional mapping of the <I>fo</I>F2 and M(3000)F2 ionospheric characteristics
In this work, Neural-Network-based single-station hourly daily <i>f</i>oF2 and M(3000)F2 modelling of 15 European ionospheric stations is investigated. The data used are neural networks and hourly daily values from the period 1964- 1988 for training the neural networks and from the p...
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2002-01-01
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Series: | Nonlinear Processes in Geophysics |
Online Access: | http://www.nonlin-processes-geophys.net/9/477/2002/npg-9-477-2002.pdf |