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The Scientific World Journal
Volume 2013, Article ID 948940, 14 pages
http://dx.doi.org/10.1155/2013/948940
Research Article

Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp. FTC209 Grown under Mixotrophic Condition

1Department of Bioprocess Technology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
2Institute of Bioscience, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
3Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

Received 4 July 2013; Accepted 29 July 2013

Academic Editors: J. E. Barboza-Corona, C. W. Choi, S. Menoret, and N. Vassilev

Copyright © 2013 Mohd Shamzi Mohamed 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

Mohd Shamzi Mohamed, Joo Shun Tan, Rosfarizan Mohamad, Mohd Noriznan Mokhtar, and Arbakariya B. Ariff, “Comparative Analyses of Response Surface Methodology and Artificial Neural Network on Medium Optimization for Tetraselmis sp. FTC209 Grown under Mixotrophic Condition,” The Scientific World Journal, vol. 2013, Article ID 948940, 14 pages, 2013. https://doi.org/10.1155/2013/948940.