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Predictive modelling of soils' hydraulic conductivity using artificial neural network and multiple linear regression
2021
SN Applied Sciences
AbstractAs a result of heterogeneity nature of soils and variation in its hydraulic conductivity over several orders of magnitude for various soil types from fine-grained to coarse-grained soils, predictive methods to estimate hydraulic conductivity of soils from properties considered more easily obtainable have now been given an appropriate consideration. This study evaluates the performance of artificial neural network (ANN) being one of the popular computational intelligence techniques in
doi:10.1007/s42452-020-03974-7
fatcat:mafqqbjv4bhrld3tq3lsj7venq