Improving Estimation of Specific Surface Area by Artificial Neural Network Ensembles Using Fractal and Particle Size Distribution Curve Parameters as Predictors-Reference-Cited by-同舟云学术

Improving Estimation of Specific Surface Area by Artificial Neural Network Ensembles Using Fractal and Particle Size Distribution Curve Parameters as Predictors

Published:2013-03-26 Issue:5 Volume:18 Page:605-614
ISSN:1420-2026
Container-title:Environmental Modeling & Assessment
language:en
Short-container-title:Environ Model Assess

Author:

Bayat Hossein,Ersahin Sabit,Hepper Estela N.

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science

Link

http://link.springer.com/content/pdf/10.1007/s10666-013-9366-2.pdf

Reference44 articles.

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3. Lutenegger, A. J., & Cerato, A. B. (2001). Surface area and engineering properties of finegrained soils. 15th International Conference on Soil Mechanics and Foundation Engineering (pp. 603–606). Istanbul, Turkey: A.A. Balkema Publishers.

4. Morgenstern, N.R., Balasubramanian, B.I. (1980). Effects of pore fluid on the swelling of clay-shale. In: 4th International Conference Expansive Soils. pp. 190–205.

5. Sridharan, A., Rao, S. M., & Murthy, N. S. (1986). Compressibility behavior of homoionized bentonites. Geotechnique, 36, 551–564.

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