Short-term streamflow modeling using data-intelligence evolutionary machine learning models
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Short-term streamflow modeling using data-intelligence evolutionary machine learning models ; volume:13 ; number:1 ; day:24 ; month:8 ; year:2023 ; pages:1-23 ; date:12.2023
Scientific reports ; 13, Heft 1 (24.8.2023), 1-23, 12.2023
- Creator
-
Martinho, Alfeu D.
Hippert, Henrique S.
Goliatt, Leonardo
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-41113-5
- URN
-
urn:nbn:de:101:1-2024020809082981098768
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
05.11.2025, 10:47 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Martinho, Alfeu D.
- Hippert, Henrique S.
- Goliatt, Leonardo
- SpringerLink (Online service)
Other Objects (12)
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm
Improving short-term water demand forecasting using evolutionary algorithms
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose
Post-processing rainfall forecasts from numerical weather prediction models for short-term streamflow forecasting
Evolutionary intelligence
Evaluation of random forests for short-term daily streamflow forecasting in rainfall-and snowmelt-driven watersheds
Continuous streamflow prediction in ungauged basins: Long Short-Term Memory Neural Networks clearly outperform hydrological models
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Self-evolving artificial intelligence framework to better decipher short-term large earthquakes
Non-verbal intelligence outperforms selective attention in a visual short-term memory test
Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm
Improving short-term water demand forecasting using evolutionary algorithms
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose
Post-processing rainfall forecasts from numerical weather prediction models for short-term streamflow forecasting
Evolutionary intelligence
Evaluation of random forests for short-term daily streamflow forecasting in rainfall-and snowmelt-driven watersheds
Continuous streamflow prediction in ungauged basins: Long Short-Term Memory Neural Networks clearly outperform hydrological models
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Self-evolving artificial intelligence framework to better decipher short-term large earthquakes
Non-verbal intelligence outperforms selective attention in a visual short-term memory test
Technical note: Data assimilation and autoregression for using near-real-time streamflow observations in long short-term memory networks
Short-term forecasts of streamflow in the UK based on a novel hybrid artificial intelligence algorithm
Improving short-term water demand forecasting using evolutionary algorithms
Enhancing long short-term memory (LSTM)-based streamflow prediction with a spatially distributed approach
Evaluation of numerical weather prediction model precipitation forecasts for short-term streamflow forecasting purpose
Post-processing rainfall forecasts from numerical weather prediction models for short-term streamflow forecasting
Evolutionary intelligence
Evaluation of random forests for short-term daily streamflow forecasting in rainfall-and snowmelt-driven watersheds
Continuous streamflow prediction in ungauged basins: Long Short-Term Memory Neural Networks clearly outperform hydrological models
Continuous streamflow prediction in ungauged basins: long short-term memory neural networks clearly outperform traditional hydrological models
Self-evolving artificial intelligence framework to better decipher short-term large earthquakes
Non-verbal intelligence outperforms selective attention in a visual short-term memory test