Cite this paper
N. Mehrdadi, H. Hasanlou, M. Taghi Jafarzadeh, H. Hasanlou and H. Abdolabadi, "Simulation of Low TDS and Biological Units of Fajr Industrial Wastewater Treatment Plant Using Artificial Neural Network and Principal Component Analysis Hybrid Method," Journal of Water Resource and Protection
, Vol. 4 No. 6, 2012, pp. 370-376. doi: 10.4236/jwarp.2012.46042
 D. S. Lee and J. M. Park, “Neural Network Modeling for On-Line Estimation of Nutrient Dynamics in a Sequentially-Operated Batch Reactor,” Journal of Biotechnology, Vol. 75, No. 2-3, 1999, p. 229.
 M. F. Homada and I. A. Al-Ghusian, “Integrated Wastewater Treatment Plant Performance Evaluation Using Artificial Neural Networks,” Water Science and Technology, Vol. 40, No. 7, 1999, pp. 55-65.
 F. I. M. Argoud and M. F. De Azevedo, “An Effective System for Automated Detection of Epileptiform Events in Long-Term EEG Based on Context Information,” Medical and Biological Engineering and Computing, Vol. 44, No. 6, 2006, pp. 459-470.
 G. Tezel, E. Yel and R. K. Sinan, “Artificial Neural Network (ANN) Model for Domestic Wastewater Treatment Plant Control,” Balwois 2010, Ohrid, 2010, p. 25.
 S. N. Prakash, A. Manikandan, L. Govindarajan and V. Vijayagopal, “Prediction of Biosorption Efficiency for the Removal of Copper (II) Using Artificial Neural Networks,” Journal of Hazardous Materials, Vol. 152, No. 3, 2008, pp. 1268-1275. doi:10.1016/j.jhazmat.2007.08.015
 A. Kardam, K. R. Raj and J. K. Arora, “Artificial Neural Network Modeling for Sorption of Cadmium from Aqueous System by Shelled Moringa Oleifera Seed Powder as an Agricultural Waste,” Journal of Water Resource and Protection, Vol. 2, No. 4, 2010, pp. 339-344.
 H. Mingzhi, Y. Ma, W. Jinquan and W. Yan, “Simulation of a Paper Mill Wastewater Treatment Using a Fuzzy neural Network,” Expert Systems with Applications, Vol. 36, No. 3, 2009, pp. 5064-5070.
 K. P. Oliveira-Esquerre, M. Mori and R. E. Bruns, “Simulation of an Industrial Wastewater Treatment Plant Using Artificial Neural Networks and Principal Components Analysis,” Brazilian Journal of Chemical Engineering, Vol. 19, No. 4, 2002, pp. 365-370.
 H. Zhao, et al., “Modeling Nutrient Dynamics in Sequencing Batch Reactor,” Journal of Environmental Engineering, Vol. 123, No. 4, 1997, p. 863.
 D.-J. Choi and H. Y. Park, “A Hybrid Artificial Neural Network as a Software Sensor for Optimal Control of a Wastewater Treatment Process,” Water Research, Vol. 35, No. 16, 2001, pp. 3959-3967.
 S. Hayken, “Neural Networks: A Comprehensive Foundation,” Prentice-Hall International, Inc., Englewood Cliffs, 1994.
 M. Vyas, B. Modhera, V. Vyas and A. K. Sharma, “Performance Forecasting of Common Effluent Treatment Plant Parameters by Artificial Neural Network,” ARPN Journal of Engineering and Applied Sciences, Vol. 6, No. 1, 2011, pp. 38-42.
 R. Noori, M. A. Abdoli, A. Ameri and M. Jalili-Ghazizade, “Prediction of Municipal Solid Waste Generation with Combination of Support Vector Machine and Principal Component Analysis: A Case Study of Mashhad,” Environmental Progress & Sustainable Energy, Vol. 28, No. 2, 2009, pp. 249-258.
 R. Noori, M. A. Abdoli, A. Ameri, M. Jalili-Ghazizade and R. Samifard, “Comparison of ANN and PCA Based Multivariate Linear Regression Applied to Predict the Weekly Municipal Solid Waste Generation in Tehran,” Iranian Journal of Public Health, Vol. 38, No. 1, 2009, pp. 74-84.
 R. Noori, A. R. Karbassi, K. H. Ashrafi, M. Ardestani and N. Mehrdadi, “Development and Application of ReducedOrder Neural Network Model Based on Proper Orthogonal Decomposition for BOD5 Monitoring: Active and Online Prediction,” Environmental Progress & Sustainable Energy. doi: 10.1002/ep.10611