Revisiting the pseudo continuous pedotransfer function concept: impact of data quality and data mining method

By Amir Haghverdi, H. Öztürk, Wim Cornelis. 2014

53 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Environmental Engineering, Soil Science

View Paper: https://www.semanticscholar.org/paper/1612fb67cbc4907689d637bd6fe4503bfd149f56

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. Donald Gabriëls
2. Wim Cornelis
3. Muhammed Khlosi
4. A. Douaik
5. Monther Alhamdoosh

In Environmental Engineering

1. Donald Gabriëls
2. Wim Cornelis
3. Muhammed Khlosi
4. A. Douaik
5. Monther Alhamdoosh

In Soil Science

1. Donald Gabriëls
2. Wim Cornelis
3. Muhammed Khlosi
4. A. Douaik
5. Monther Alhamdoosh

Citations in the corpus

• Enhanced pedotransfer functions with support vector machines to predict water retention of calcareous soil (2016, methodology): “Support vector regression is an attractive machine-learning method that has been successfully applied to predict soil properties (e.g. Lamorski et al., 2008; Twarakavi et al., 2009; Kovačević et al., 2010; Haghverdi et al., 2014).”