A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

Kennedy Were; Dieu Tien Bui; Øystein B. Dick; Bal Ram Singh

doi:10.1016/j.ecolind.2014.12.028

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape

Authors: Kennedy Were, Dieu Tien Bui, Øystein B. Dick, Bal Ram Singh - Ecological Indicators 2015 cited by 813

A comparative assessment of support vector regression, artificial neural networks, and random forests for predicting and mapping soil organic carbon stocks across an Afromontane landscape | Litlas