Artificial Neural Networks to predict decreasing saturated hydraulic conductivity in soils irrigated with saline-sodic water.
Multilayer Artificial Neural Networks (ANNs) with the backpropagation algorithm were used to estimate the decrease in relative saturated conductivity due to an increase in sodicity and salinity. Data from the literature on the relative saturated hydraulic conductivity measured using water having...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Pontificia Universidad Católica de Valparaíso
2014-05-01
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Series: | Journal of Natural Resources and Development |
Subjects: | |
Online Access: | http://jnrd.info/2014/05/artificial-neural-networks-to-predict-decreasing-saturated-hydraulic-conductivity-in-soils-irrigated-with-saline-sodic-water/ |