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...
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Veröffentlicht in: | Hydrological sciences journal 2023-07, Vol.68 (10), p.1372-1390 |
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Sprache: | eng |
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