Neural computing techniques to estimate the hydraulic conductivity of porous media
Accurate hydraulic conductivity (K) estimation of porous media is crucial in hydrological studies. Recently, groundwater investigators have utilized neural computing techniques to indirectly estimate soil sample K instead of time-consuming direct methods. The present study utilizes easily measurable...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IWA Publishing
2023-06-01
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Series: | Water Supply |
Subjects: | |
Online Access: | http://ws.iwaponline.com/content/23/6/2586 |