Representative sample size for estimating saturated hydraulic conductivity via machine learning


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Owners: Behzad Ghanbarian
Type: Resource
Storage: The size of this resource is 5.9 MB
Created: Sep 08, 2023 at 12:11 p.m.
Last updated: May 21, 2024 at 12:28 p.m.
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Abstract

This database including saturated hydraulic conductivity data from the USKSAT database as well as the associated Python codes used to analyze learning curves and train and test the developed machine learning models.

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How to Cite

Ahmadisharaf, A., R. Nematirad, S. Sabouri, Y. Pachepsky, B. Ghanbarian (2024). Representative sample size for estimating saturated hydraulic conductivity via machine learning, HydroShare, http://www.hydroshare.org/resource/4c33179a77834634969bb9787c41e71a

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
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