Using LSTM and XGBoost for streamflow prediction based on meteorological time series data
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Karssenberg, Derek | |
dc.contributor.author | Afshari Hemmatalikeykha, Maryam | |
dc.date.accessioned | 2022-09-09T03:01:20Z | |
dc.date.available | 2022-09-09T03:01:20Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/42614 | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Using LSTM and XGBoost for streamflow prediction based on meteorological time series data | |
dc.title | Using LSTM and XGBoost for streamflow prediction based on meteorological time series data | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Applied Data Science | |
dc.thesis.id | 9643 |