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BioMed Research International
Volume 2013 (2013), Article ID 463401, 9 pages
http://dx.doi.org/10.1155/2013/463401
Research Article

Back Propagation Neural Network Model for Predicting the Performance of Immobilized Cell Biofilters Handling Gas-Phase Hydrogen Sulphide and Ammonia

1Core Group Pollution Prevention and Resource Recovery, Department of Environmental Engineering and Water Technology, UNESCO-IHE Institute for Water Education, P.O. Box 3015, 2601 DA Delft, The Netherlands
2Chemical Engineering Laboratory, Faculty of Sciences, University of La Coruña, Rúa da Fraga 10, 15008 La Coruña, Spain
3Department of Civil and Environmental Engineering, University of Ulsan, P.O. Box 18, Ulsan 680-749, Republic of Korea

Received 7 August 2013; Accepted 9 September 2013

Academic Editor: Kannan Pakshirajan

Copyright © 2013 Eldon R. Rene 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.

How to Cite this Article

Eldon R. Rene, M. Estefanía López, Jung Hoon Kim, and Hung Suck Park, “Back Propagation Neural Network Model for Predicting the Performance of Immobilized Cell Biofilters Handling Gas-Phase Hydrogen Sulphide and Ammonia,” BioMed Research International, vol. 2013, Article ID 463401, 9 pages, 2013. doi:10.1155/2013/463401