New encoder–decoder convolutional LSTM neural network architectures for next-day global ionosphere maps forecast

Global navigation satellite system (GNSS) signals are significantly affected by the ionosphere. An efficient way to assess the ionospheric effects on GNSS signals is by retrieving the vertical total electron content (VTEC). Here, we propose convolutional recurrent neural network architectures to for...

Ausführliche Beschreibung