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Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model

Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model

7
mentions
4
contributors

Description

 

Machine learning model for predicting salt concentrations in the Rhine-Meuse delta.

The folder 'Data' contains processed data, identical to 'Features.csv' in the raw dataset.

The folder 'Models' contains an ensemble of LSTM models created with the script 'LSTMv1.py'.

The script 'preprocessing.py' was used to convert the raw data to the daily data in 'Features.csv'.

Logo of Code underlying the publication: Forecasting estuarine salt intrusion in the Rhine-Meuse delta using an LSTM model
Keywords
chloride
Delta
estuary
Forecasting
hydrology
LSTM
Machine learning
river
salt intrusion
Water Management
License
  • CC0-1.0
</>Source code
Not specified
Packages
data.4tu.nl

Reference papers

Mentions

Contributors

AW
Albrecht Weerts
BW
Bas Wullems
CB
Claudia Brauer
FB
Fedor Baart

Member of community

4TU