Modeling water retention curves of sandy soils using neural networks
- 1 October 1996
- journal article
- Published by American Geophysical Union (AGU) in Water Resources Research
- Vol. 32 (10), 3033-3040
- https://doi.org/10.1029/96wr02278
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- The Use of Artificial Neural Networks for the Prediction of Water Quality ParametersWater Resources Research, 1996
- Evaluation of Soil Water Retention Models Based on Basic Soil Physical PropertiesSoil Science Society of America Journal, 1995
- Comparison of class and continuous pedotransfer functions to generate soil hydraulic characteristicsGeoderma, 1995
- Functional Evaluation of Pedotransfer Functions for the Estimation of Soil Hydraulic PropertiesSoil Science Society of America Journal, 1992
- Rainfall forecasting in space and time using a neural networkJournal of Hydrology, 1992
- ESTIMATING THE SOIL MOISTURE RETENTION CHARACTERISTIC FROM TEXTURE, BULK DENSITY, AND CARBON CONTENTSoil Science, 1989
- Application of Fractal Mathematics to Soil Water Retention EstimationSoil Science Society of America Journal, 1989
- Estimation of soil hydraulic properties and their uncertainty from particle size distribution dataJournal of Hydrology, 1989
- A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of SoilsWater Resources Research, 1984
- A Closed‐form Equation for Predicting the Hydraulic Conductivity of Unsaturated SoilsSoil Science Society of America Journal, 1980