WITHDRAWN: Implementation of deep learning algorithms for predicting ionospheric total electron content

Abstract

Abstract Geomagnetic storms affect the ionospheric structure of the earth, leading to concealment in the communication of satellite navigation systems. To not experience the mishappening, we need to make accurate predictions about the atmospheric conditions in the ionospheric layer under extreme space weather conditions. It, being physically challenging to predict such behaviours of geomagnetic storms. In this paper, we are going to predict the upcoming storms depending on the previous data collected and on the Ionospheric total electron content. For this, we intend to use the Matrix laboratory i.e., MATLAB and the deep learning algorithms LSTM (Long Short-Term Memory) and Seq2Seq (Sequence to Sequence). This study brings new perceptions of the algorithms as well as the behavior of the Total Electron Content (TEC) of the ionosphere.