L. Baker and D. Ellison, Optimisation of pedotransfer functions using an artificial neural network ensemble method, Geoderma, vol.144, issue.1-2, pp.212-224, 2008.
DOI : 10.1016/j.geoderma.2007.11.016

J. Bouma, Using Soil Survey Data for Quantitative Land Evaluation, Adv. Soil Sci, vol.9, pp.177-213, 1989.
DOI : 10.1007/978-1-4612-3532-3_4

Z. W. Geem and W. E. Roper, Various continuous harmony search algorithms for web-based hydrologic parameter optimisation, International Journal of Mathematical Modelling and Numerical Optimisation, vol.1, issue.3, pp.213-226, 2010.
DOI : 10.1504/IJMMNO.2010.031749

B. Minasny and A. B. Mcbratney, The Neuro-m Method for Fitting Neural Network Parametric Pedotransfer Functions, Soil Science Society of America Journal, vol.66, issue.4, pp.352-361, 2002.
DOI : 10.2136/sssaj2002.1407a
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.125.7506

J. Mohammadi, Testing an artificial neural network for predicting soil water retention characteristics from soil physical and chemical properties, 17 th World Congress of Soil Science. Thailand, 2002.

Y. Pachepsky and W. J. Rawls, Developmennt of Pedotransfer Functions in Soil Hydrology, 2004.

M. G. Schaap, F. J. Leij, M. Van-genuchten, and . Th, Neural Network Analysis for Hierarchical Prediction of Soil Hydraulic Properties, Soil Science Society of America Journal, vol.62, issue.4, pp.847-855, 1998.
DOI : 10.2136/sssaj1998.03615995006200040001x

J. Skalova, Pedotransfer Functions of the Zahorska Lowland Soils and Their Application to Soil-Water Regime Modeling. Thesis, Faculty of Civil Engineering STU Bratislava, p.pp, 2001.

A. J. Smola and B. Schölkopf, A tutorial on support vector regression, Statistics and Computing, vol.14, issue.3, pp.199-222, 2004.
DOI : 10.1023/B:STCO.0000035301.49549.88

S. Tamari, J. H. Wosten, and J. C. Ruiz-suarez, Testing an Artificial Neural Network for Predicting Soil Hydraulic Conductivity, Soil Science Society of America Journal, vol.60, issue.6, pp.1732-1741, 1996.
DOI : 10.2136/sssaj1996.03615995006000060018x

N. K. Twarakavi, J. Simunek, and M. G. Schaap, Development of Pedotransfer Functions for Estimation of Soil Hydraulic Parameters using Support Vector Machines, Soil Science Society of America Journal, vol.73, issue.5, pp.1443-1452, 2009.
DOI : 10.2136/sssaj2008.0021

V. Vapnik, The Nature of Statistical Learning Theory, 1995.