The neuro-m method for fitting neural network parametric pedotransfer functions

By Budiman Minasny, Alex B. McBratney. 2002

300 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/45368d4eb427cc1656f16ce0c9bf5e6a3e447f01

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Wim Cornelis
2. Amir Haghverdi
3. Yakov A. Pachepsky
4. Attila Nemes
5. B. Ghahraman
6. H. Öztürk
7. Walter J. Rawls
8. Allan Lilly

In Environmental Engineering

1. Wim Cornelis
2. Amir Haghverdi
3. Yakov A. Pachepsky
4. B. Ghahraman
5. Attila Nemes
6. Walter J. Rawls
7. H. Öztürk
8. Allan Lilly

In Water Science and Technology

1. Wim Cornelis
2. Amir Haghverdi
3. B. Ghahraman
4. Allan Lilly
5. Yakov A. Pachepsky
6. K. C. Abbaspour
7. Walter J. Rawls
8. Attila Nemes

Citations in the corpus

• Neural network models to predict cation exchange capacity in arid regions of Iran (2005, methodology): “A type of ANN known as multilayer perceptron (MLP), which uses a back-propagation training algorithm, is usually used for generating PTFs (Schaap et al., 1998; Minasny et al., 1999; Pachepsky & Rawls, 1999; Minasny & McBratney, 2002).”
• A pseudo-continuous neural network approach for developing water retention pedotransfer functions with limited data (2012, methodology): “Minasny and McBratney (2002a) used Neuropack and compared its performance with Rosetta.”
• Use of the Nonparametric Nearest Neighbor Approach to Estimate Soil Hydraulic Properties (2006, methodology): “Recently, artificial NNet models have been used successfully in PTF development (e.g., Pachepsky et al., 1996; Tamari et al., 1996; Schaap et al., 1998; Koekkoek and Booltink, 1999; Minasny et al., 1999; Schaap and Leij, 2000; Minasny and McBratney, 2002; Nemes et al., 2003).”
• Prediction of Soil Organic Carbon across Different Land‐use Patterns (2005, background): “The sites selected from the Sinharaja (SF andpedotransfer functions (Minasny and McBratney, 2002; ST) are located in the southwestern lowland wet zone of theNemes et al., 2003); environmental correlation of threeisland at elevations from 300 to 1970 m msl. Soils of thedimensional soil spatial…”
• Probabilistic Approach to the Identification of Input Variables to Estimate Hydraulic Conductivity (2008, methodology): “Recently, other techniques, such as artifi cial neural networks, have been used (e.g., Minasny and McBratney, 2002; Schaap et al., 1998, 2001) to develop PTFs. Pachepsky and Rawls (2004) and Cornelis et al. (2001) included descriptions and evaluations of many of these techniques.”
• Revisiting the pseudo continuous pedotransfer function concept: impact of data quality and data mining method (2014, background): “In another study, Twarakavi et al. (2009) compared SVM with NN (i.”