Výsledky vyhledávání - "machine learning-based model calibration"

Quantifying Groundwater Response and Uncertainty in Beaver‐Influenced Mountainous Floodplains Using Machine Learning‐Based Model Calibration

Autoři: Wang, Lijing Babey, Tristan Perzan, Zach a další

Zdroj: Water Resources Research. 61(9)

Témata: 3707 Hydrology (for-2020), 3709 Physical Geography and Environmental Geoscience (for-2020), 37 Earth Sciences (for-2020), 3705 Geology (for-2020), Machine Learning and Artificial Intelligence (rcdc), beaver ponds, hydrologic modeling, machine learning-based model calibration, floodplain structures, uncertainty quantification, 0406 Physical Geography and Environmental Geoscience (for), 0905 Civil Engineering (for), 0907 Environmental Engineering (for), Environmental Engineering (science-metrix), 3707 Hydrology (for-2020), 4005 Civil engineering (for-2020), 4011 Environmental engineering (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/43f1j9m2
https://escholarship.org/content/qt43f1j9m2/qt43f1j9m2.pdf

Quantifying groundwater response and uncertainty in beaver-influenced mountainous floodplains using machine learning-based model calibration

Autoři: Lijing Wang Tristan Babey Zach Perzan a další

Přispěvatelé: Lijing Wang Tristan Babey Zach Perzan a další

Zdroj: Water Resources Research. 61

Témata: [SDU] Sciences of the Universe [physics], uncertainty quantification, hydrologic modeling, machine learning-based model calibration, floodplain structures, beaver ponds

Popis souboru: application/pdf

Přístupová URL adresa: https://hal.science/hal-05317954v1/document
https://doi.org/10.1029/2024wr039192
https://hal.science/hal-05317954v1