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Comparison of statistical regression and data-mining techniques in estimating soil water retention of tropical delta soils

(2017) BIOSYSTEMS ENGINEERING. 153. p.12-27
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Keywords
k-nearest neighbors, multiple linear regression, support vector machines, Pedotransfer functions, tropical delta soils, artificial neural networks, ARTIFICIAL NEURAL-NETWORK, SUPPORT VECTOR MACHINES, DEVELOP PEDOTRANSFER FUNCTIONS, NEAREST-NEIGHBOR TECHNIQUE, HYDRAULIC CONDUCTIVITY, ORGANIC-MATTER, MONTHLY INFLOW, BULK-DENSITY, PREDICT, PARAMETERS

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Citation

Please use this url to cite or link to this publication:

MLA
Nguyen, Phuong, Amir Haghverdi, Jan De Pue, et al. “Comparison of Statistical Regression and Data-mining Techniques in Estimating Soil Water Retention of Tropical Delta Soils.” BIOSYSTEMS ENGINEERING 153 (2017): 12–27. Print.
APA
Nguyen, Phuong, Haghverdi, A., De Pue, J., Botula Manyala, Y.-D., Waegeman, W., & Cornelis, W. (2017). Comparison of statistical regression and data-mining techniques in estimating soil water retention of tropical delta soils. BIOSYSTEMS ENGINEERING, 153, 12–27.
Chicago author-date
Nguyen, Phuong, Amir Haghverdi, Jan De Pue, Yves-Dady Botula Manyala, Willem Waegeman, and Wim Cornelis. 2017. “Comparison of Statistical Regression and Data-mining Techniques in Estimating Soil Water Retention of Tropical Delta Soils.” Biosystems Engineering 153: 12–27.
Chicago author-date (all authors)
Nguyen, Phuong, Amir Haghverdi, Jan De Pue, Yves-Dady Botula Manyala, Willem Waegeman, and Wim Cornelis. 2017. “Comparison of Statistical Regression and Data-mining Techniques in Estimating Soil Water Retention of Tropical Delta Soils.” Biosystems Engineering 153: 12–27.
Vancouver
1.
Nguyen P, Haghverdi A, De Pue J, Botula Manyala Y-D, Waegeman W, Cornelis W. Comparison of statistical regression and data-mining techniques in estimating soil water retention of tropical delta soils. BIOSYSTEMS ENGINEERING. 2017;153:12–27.
IEEE
[1]
P. Nguyen, A. Haghverdi, J. De Pue, Y.-D. Botula Manyala, W. Waegeman, and W. Cornelis, “Comparison of statistical regression and data-mining techniques in estimating soil water retention of tropical delta soils,” BIOSYSTEMS ENGINEERING, vol. 153, pp. 12–27, 2017.
@article{8151291,
  author       = {{Nguyen, Phuong and Haghverdi, Amir and De Pue, Jan and Botula Manyala, Yves-Dady and Waegeman, Willem and Cornelis, Wim}},
  issn         = {{1537-5110}},
  journal      = {{BIOSYSTEMS ENGINEERING}},
  keywords     = {{k-nearest neighbors,multiple linear regression,support vector machines,Pedotransfer functions,tropical delta soils,artificial neural networks,ARTIFICIAL NEURAL-NETWORK,SUPPORT VECTOR MACHINES,DEVELOP PEDOTRANSFER FUNCTIONS,NEAREST-NEIGHBOR TECHNIQUE,HYDRAULIC CONDUCTIVITY,ORGANIC-MATTER,MONTHLY INFLOW,BULK-DENSITY,PREDICT,PARAMETERS}},
  language     = {{eng}},
  pages        = {{12--27}},
  title        = {{Comparison of statistical regression and data-mining techniques in estimating soil water retention of tropical delta soils}},
  url          = {{http://dx.doi.org/10.1016/j.biosystemseng.2016.10.013}},
  volume       = {{153}},
  year         = {{2017}},
}

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