Utilizing soil–water characteristic curve parameters in custom artificial neural network models to predict the unsaturated hydraulic conductivity
Abstract Accurately predicting unsaturated hydraulic conductivity (k u ) is essential for applications in agriculture, environmental management, and geotechnical engineering. This study introduces a predictive model utilizing a custom artificial neural network (ANN) based on saturated hydraulic cond...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00410-w |
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