Ionospheric data analysis of Demeter sattelite using neural network: Application to IAP instrument

Abstract

In this paper, we use the artificial neural network for prediction of ionospheric perturbations by the analysis of the Instrument Plasma Analyzer (IAP) data using the Multilayer Perceptron (MLP) neural network. Data that are used as an input and output for the training of the MLP machine are: the Helium, Electron and Ions densities, Ions temperature, Ions speed and direction. The MLP machine is composed with an input layer, an output layer and a hidden layer. Application to the Demeter satellite data of orbit 27447-1 shows that the MLP neural network machine can give good results for plasma disturbances and can be used for prediction of seismo-ionospheric perturbations. © Springer-Verlag 2013.