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Precise Tuning of Regional Hydrological LSTM Networks
<div> <div>This data is for paper: "Precise Tuning of Regional Hydrological LSTM Networks: Simultaneous Systematic Random Search Optimization" by F. Hosseini et al. (Preprint)</div> <div>"<strong>Hyperparameter Optimization of Regional Hydrological LSTMs by Random Search: A Case Study from Basque Country, Spain</strong>" (Accepted on 29th Aug 2024) J.Hydro, Hosseini, et al., 2024.</div> <div> </div> <div>Codes to run and reproduce the results and figures can be found here: https://github.com/farzadhoseini/Precise_Tuning_of_Regional_Hydrological_LSTM_Networks</div> </div>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0