Comparing machine learning approaches for estimating soil saturated hydraulic conductivity.

PLoS One · 2024 · PMC11563412 · PMID 39541333

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highly significantno p-value reported

Figs 7 (RBFNNs), 8 (MLPNNs), 9 (GA-NNs), and 10 (PSO-NNs) also indicate that there is a highly significant correlation between the measured and NNs-predicted K fs values.

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