A comprehensive support vector machine-based classification model for soil quality assessment-Reference-Cited by-同舟云学术

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A comprehensive support vector machine-based classification model for soil quality assessment

Published:2016-01 Issue: Volume:155 Page:19-26
ISSN:0167-1987
Container-title:Soil and Tillage Research
language:en
Short-container-title:Soil and Tillage Research

Author:

Liu Yong,Wang Huifeng,Zhang Hong,Liber Karsten

Funder

National Natural Science Foundation of China

Important Specialized Science and Technology Item of Shanxi Province, China

Publisher

Elsevier BV

Subject

Earth-Surface Processes,Soil Science,Agronomy and Crop Science

Reference46 articles.

1. Identification of heavy metal origins related to chemical and morphological soil properties using several non-destructive X-ray analytical methods;Akbulut;Environ. Monit. Assess.,2013

2. Support Vector Machines. Data-Driven Modeling: Using MATLAB03 in Water Resources and Environmental Engineering;Araghinejad,2014

3. Heavy metal pollution assessment using support vector machine in the Shur River, Sarcheshmeh copper mine, Iran;Aryafar;Environ. Earth Sci.,2012

4. Spatial variability of soil chemical properties in a jujube slope on the Loess Plateau of China;Bai;Soil Sci.,2011

5. Generalization performance of support vector machines and neural networks in runoff modeling;Behzad;Expert Syst. Appl.,2009

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