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Testing an Artificial Neural Network for Predicting Soil Hydraulic Conductivity

✍ Scribed by Tamari, S.; Wösten, J. H. M.; Ruiz-Suárez, J. C.

Book ID
121522808
Publisher
The American Society of Agronomy
Year
1996
Tongue
English
Weight
372 KB
Volume
60
Category
Article
ISSN
0361-5995

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## Abstract The solution of many field‐scale flow and transport problems requires estimates of unsaturated soil hydraulic properties. The objective of this study was to calibrate neural network models for prediction of water retention parameters and saturated hydraulic conductivity, __K__~s~, from