Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches

Title
Improving the Spatial Prediction of Soil Organic Carbon Stocks in a Complex Tropical Mountain Landscape by Methodological Specifications in Machine Learning Approaches
Authors
Keywords
Machine learning algorithms, Artificial neural networks, Forests, Neurons, Forecasting, Neuronal tuning, Terrain, Support vector machines
Journal
PLoS One
Volume 11, Issue 4, Pages e0153673
Publisher
Public Library of Science (PLoS)
Online
2016-04-30
DOI
10.1371/journal.pone.0153673

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