TY - DATA
T1 - Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model
PY - 2023/09/08
AU - Bas Wullems
AU - Claudia Brauer
AU - Albrecht Weerts
AU - Fedor Baart
UR - https://data.4tu.nl/articles/software/_/21946724
DO - 10.4121/21946724.v1
KW - Salt intrusion
KW - LSTM
KW - Machine learning
KW - Hydrology
KW - Water management
KW - Estuary
KW - Delta
KW - Forecasting
KW - chloride
KW - river
N2 - <p>&nbsp;</p><p>Machine learning model for predicting salt concentrations in the Rhine-Meuse delta.</p><p>The folder 'Data'&nbsp;contains processed data, identical to 'Features.csv'&nbsp;in the raw dataset.</p><p>The folder 'Models' contains an ensemble of LSTM models created with the script 'LSTMv1.py'.</p><p>The script 'preprocessing.py' was used to convert the raw data to the daily data in 'Features.csv'.</p>
ER -