Use of long short-term memory network (LSTM) in the reconstruction of missing water level data in the River Seine

This paper aims to fill in the missing time series of hourly surface water levels of some stations installed along the River Seine, using the long short-term memory (LSTM) algorithm. In our study, only the water level data from the same station, containing many missing parts, were used as input and...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Hydrological sciences journal 2023-07, Vol.68 (10), p.1372-1390
Hauptverfasser: Janbain, Imad, Deloffre, Julien, Jardani, A., Vu, Minh Tan, Massei, Nicolas
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!