Artificial Neural Networks for Estimating Soil Water Retention Curve Using Fitted and Measured Data

Table 1

Descriptive statistics of soil properties assumed as input and output parameters in the developed ANNs (all 228 soil samples).

Soil property	Input parameters
	Min	Max	Mean	SD
Bd (g cm^−3)	0.46	1.95	1.41	0.26
Pd (g cm^−3)	1.98	2.93	2.63	0.09
(cm^3 cm^−3)	0.26	0.92	0.47	0.10
Sand (%)	0.00	98.90	26.30	25.58
Silt (%)	1.10	95.60	40.84	18.79
Clay (%)	0.00	87.60	32.82	21.49
(cm)	0.00	15.62	5.20	2.50
Matric potentials (cm)	Output parameters
	Min	Max	Mean	SD
Measured	0.008	0.838	0.314	0.140
0	0.139	0.837	0.449	0.117
−10	0.139	0.826	0.427	0.108
−20	0.139	0.789	0.408	0.106
−30	0.108	0.749	0.391	0.108
−50	0.066	0.707	0.364	0.113
−100	0.043	0.631	0.329	0.118
−200	0.037	0.597	0.299	0.118
−500	0.010	0.576	0.265	0.112
−1000	0.003	0.568	0.241	0.108