Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management
Management of available water resources needs good planning and to do this, prognostication of hydrological parameters (parameters of the hydrological cycle such as rainfall, runoff, solar radiation, groundwater, evaporation/evapotranspiration) [...]
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| Format: | Article |
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MDPI AG
2021-08-01
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| Series: | Sustainability |
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| Online Access: | https://www.mdpi.com/2071-1050/13/15/8596 |
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doaj-dde9c4ab3cdd49649af6fe9183f829892021-08-06T15:33:29ZengMDPI AGSustainability2071-10502021-08-01138596859610.3390/su13158596Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources ManagementOzgur Kisi0Civil Engineering Department, Ilia State University, Tbilisi 0162, GeorgiaManagement of available water resources needs good planning and to do this, prognostication of hydrological parameters (parameters of the hydrological cycle such as rainfall, runoff, solar radiation, groundwater, evaporation/evapotranspiration) [...]https://www.mdpi.com/2071-1050/13/15/8596n/a |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Ozgur Kisi |
| spellingShingle |
Ozgur Kisi Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management Sustainability n/a |
| author_facet |
Ozgur Kisi |
| author_sort |
Ozgur Kisi |
| title |
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
| title_short |
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
| title_full |
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
| title_fullStr |
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
| title_full_unstemmed |
Machine Learning with Metaheuristic Algorithms for Sustainable Water Resources Management |
| title_sort |
machine learning with metaheuristic algorithms for sustainable water resources management |
| publisher |
MDPI AG |
| series |
Sustainability |
| issn |
2071-1050 |
| publishDate |
2021-08-01 |
| description |
Management of available water resources needs good planning and to do this, prognostication of hydrological parameters (parameters of the hydrological cycle such as rainfall, runoff, solar radiation, groundwater, evaporation/evapotranspiration) [...] |
| topic |
n/a |
| url |
https://www.mdpi.com/2071-1050/13/15/8596 |
| work_keys_str_mv |
AT ozgurkisi machinelearningwithmetaheuristicalgorithmsforsustainablewaterresourcesmanagement |
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1721217426730778624 |