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The Scientific World Journal
Volume 2013, Article ID 240158, 5 pages
http://dx.doi.org/10.1155/2013/240158
Research Article

Prediction of Heavy Metal Removal by Different Liner Materials from Landfill Leachate: Modeling of Experimental Results Using Artificial Intelligence Technique

1Department of Environmental Engineering, Engineering Faculty, Ondokuz Mays University, Kurupelit, 55139 Samsun, Turkey
2Department of Electric and Electronic Engineering, Engineering Faculty, Ondokuz Mays University, Kurupelit, 55139 Samsun, Turkey

Received 3 April 2013; Accepted 23 May 2013

Academic Editors: G. Brunetti, I. Ortiz, and C. K. Yoo

Copyright © 2013 Nurdan Gamze Turan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Fan Jingjing, “Leakage Performance of the GM + CCL Liner System for the MSW Landfill,” The Scientific World Journal, vol. 2014, pp. 1–9, 2014. View at Publisher · View at Google Scholar
  • David Camarena-Martinez, Martin Valtierra-Rodriguez, Arturo Garcia-Perez, Roque Alfredo Osornio-Rios, and Rene de Jesus Romero-Troncoso, “Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors,” The Scientific World Journal, vol. 2014, pp. 1–17, 2014. View at Publisher · View at Google Scholar