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Ionospheric electromagnetic wave propagation

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Neural networks in ionospheric prediction and short-term forecasting
Author(s): L.R. Cander, X. Lamming
Source: Tenth International Conference on Antennas and Propagation (ICAP), 1997, p. v2:27 - v2:27
Type: ConferencePaper
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This paper discusses appropriateness of the neural network approach for ionospheric prediction and short-term forecasting. The idea of using the neural network technique to predict the future behaviour of a time series of the vertical-incidence ionospheric data has been presented and endorsed in the framework of the COST 251 project. It is based on the well-known fact that in recent years attention has turned to the application of neural network techniques to analysing and predicting the behaviour of non-linear time series. In particular, the behaviour of time series of the solar-terrestrial data such as the solar sunspot number, the solar 10.7 cm flux, and the geomagnetic activity indices. (4 pages)

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