Titlebook: China Satellite Navigation Conference (CSNC 2024) Proceedings; Volume I Changfeng Yang,Jun Xie Conference proceedings 2024 Aerospace Inform

怪物

Prediction of Ionospheric TEC Based on BLS-LSTM-GRU Hybrid Model index F10.7, and hour (HD) are selected as input features from the observed data to predict the variation of the total ionospheric electron content. The results generate prediction maps of the total ionospheric electron content and are compared with empirical models and conventional neural network