Karst spring discharge modeling based on deep learning using spatially distributed input data
<p>Despite many existing approaches, modeling karst water resources remains challenging as conventional approaches usually heavily rely on distinct system knowledge. Artificial neural networks (ANNs), however, require only little prior knowledge to automatically establish an input–output relat...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-05-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | https://hess.copernicus.org/articles/26/2405/2022/hess-26-2405-2022.pdf |