%0 Computer Program
%A Wullems, Bas
%A Brauer, Claudia
%A Weerts, Albrecht
%A Baart, Fedor
%D 2023
%T Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model
%U https://data.4tu.nl/articles/software/_/21946724
%R 10.4121/21946724.v1
%K Salt intrusion
%K LSTM
%K Machine learning
%K Hydrology
%K Water management
%K Estuary
%K Delta
%K Forecasting
%K chloride
%K river
%X <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>
%I 4TU.ResearchData