Prediction of effluent quality of a paper mill wastewater treatment using an adaptive network-based fuzzy inference system

Applied Soft Computing Journal

Volumn 11, Issue 3, 2011, Pages 3238-3246

  Wan, Jinquan ^a   Huang, Mingzhi ^a   Ma, Yongwen ^a   Guo, Wenjie ^a   Wang, Yan ^a   Zhang, Huiping ^a   Li, Weijiang ^a   Sun, Xiaofei ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Adaptive network based fuzzy inference system; Prediction; Principal component analysis; Wastewater treatment

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; CHEMICAL OXYGEN DEMAND REMOVALS; CONTROL PERFORMANCE; EFFLUENT QUALITY; FUZZY SUBTRACTIVE CLUSTERING; INPUT AND OUTPUTS; INPUT VARIABLES; LINEAR CORRELATION; MAXIMUM CORRELATION COEFFICIENT; MEAN ABSOLUTE PERCENTAGE ERROR; MINIMUM MEAN SQUARE ERRORS; NEURO-FUZZY MODELING; PAPER MILL; PAPER MILL WASTEWATER; PREDICTION; SUSPENDED SOLIDS; TREATING PROCESS; WASTEWATER TREATMENT PLANTS;

CHEMICAL OXYGEN DEMAND; EFFLUENT TREATMENT; EFFLUENTS; ERRORS; FORECASTING; FUZZY INFERENCE; FUZZY SYSTEMS; INTELLIGENT CONTROL; NETWORK CODING; NETWORK PERFORMANCE; OXYGEN; PAPER AND PULP MILLS; PAPERMAKING MACHINERY; RECLAMATION; WASTEWATER; WASTEWATER TREATMENT; WATER QUALITY; WATER TREATMENT PLANTS;

PRINCIPAL COMPONENT ANALYSIS;

CHEMICAL OXYGEN DEMAND; CODING; EFFLUENT TREATMENT; ERRORS; FUZZY LOGIC; PAPER MAKING EQUIPMENT; PAPER MILLS; RECLAMATION; WATER QUALITY; WATER TREATMENT;

EID: 79951857690     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.12.026     Document Type: Article

References (25)

1. J.Q. Wan, M.Z. Huang, and Y.W. Ma Studies on predicting the effluent treatment process with fuzzy neural network Transations of China Pulp and Paper 23 2008 96 99
2. M.Z. Huang, J.Q. Wan, Y.W. Ma, and Y. Wang Simulation of a paper mill wastewater treatment using a fuzzy neural network Expert Systems with Applications 36 2009 5064 5070
3. N. Bhat, and T.J. McAvoy Use of neural nets for dynamic modeling and control of chemical process systems Computers and Chemical Engineering 14 1990 573 583
4. S.H. Hong, M.W. Lee, D.S. Lee, and J.M. Park Monitoring of sequencing batch reactor for nitrogen and phosphorus removal using neural networks Biochemical Engineering Journal 35 2007 365 370 (Pubitemid 46830009)
5. I.N. da Silva, and R.A. Flauzino An approach based on neural networks for estimation and generalization of crossflow filtration processes Applied Soft Computing 8 2008 590 598 (Pubitemid 47374590)
6. J.C. Chen, N.B. Chang, and W.K. Shieh Assessing wastewater reclamation potential by neural network model Engineering Applications of Artificial Intelligence 16 2003 149 157
7. L. Belanche, J.J. Valdes, J. Comas, and I.R. Roda Prediction of the bulking phenomenon in wastewater treatment plants Artificial Intelligence in Engineering 14 2000 307 317 (Pubitemid 32029223)
8. J.B. Serodes, M.J. Rodriguez, and A. Ponton Chlorcast: a methodology for developing decision-making tools for chlorine disinfection control Environmental Modelling and Software 16 2001 53 62
9. P. Holubar, L. Zani, M. Hager, W. Froschl, Z. Radak, and R. Braun Advanced controlling of anaerobic digestion by means of hierarchical neural networks Water Research 36 2002 2582 2588 (Pubitemid 34578131)
10. S.R. Jang ANFIS Adaptive-network-based fuzzy inference systems IEEE Transactions on Systems Man and Cybernetics 23 1993 665 685
11. M.Z. Huang, J.Q. Wan, Y.W. Ma, Y. Wang, W.J. Li, and X.F. Sun Control rules of aeration in a submerged biofilm wastewater treatment process using fuzzy neural networks Expert Systems with Applications 36 2009 10428 10437
12. W.C. Chen, N.B. Chang, and W.K. Shieh Advanced hybrid fuzzy-neural controller for industrial wastewater treatment Journal of Environmental Engineering 127 2001 1048 1059 (Pubitemid 33038446)
13. M. Bongards Improving the efficiency of a wastewater treatment plant by fuzzy control and neural networks Water Science and Technology 3 2001 189 196 (Pubitemid 33026230)
14. J.H. Tay, and X. Zhang A fast predicting neural fuzzy model for high rate anaerobic wastewater treatment systems Water Research 34 2000 2849 2860 (Pubitemid 30261444)
15. J.P. Steyer, D. Rolland, J.C. Bouvier, and R. Moletta Hybrid fuzzy neural network for diagnosis application to the anaerobic treatment of wine distillery wastewater in a fluidized bed reactor Water Science and Technology 36 1997 209 217 (Pubitemid 27519329)
16. J.C. Chen, and N.B. Chang Mining the fuzzy control rules of aeration in a submerged biofilm wastewater treatment process Engineering Applications of Artificial Intelligence 20 2007 959 969
17. J. Lennox, and C. Rosen Adaptive multiscale principal components analysis for online monitoring of wastewater treatment Water Science and Technology 45 2002 227 235 (Pubitemid 34256544)
18. I.T. Jolliffe Principal Component Analysis 2nd ed. 2002 Springer New York
19. G. Civelekoglu, A. Perendeci, N.O. Yigit, and M. Kitis Modeling carbon and nitrogen removal in an industrial wastewater treatment plant using an adaptive network-based fuzzy inference system Clean 35 2007 617 625
20. C. Rosen, M. Larsson, U. Jeppsson, and Z. Yuan A framework for extreme-event control in wastewater treatment Water Science and Technology 45 2002 299 308 (Pubitemid 34256552)
21. D.J. Choi, and H. Park A hybrid artificial neural network as a software sensor for optimal control of a wastewater treatment process Water Research 35 2001 3959 3967 (Pubitemid 32824096)
22. C.K. Yoo, P.A. Vanrolleghem, and I.B. Lee Nonlinear modeling and adaptive monitoring with fuzzy and multivariate statistical methods in biological wastewater treatment plants Journal of Biotechnology 105 2003 135 163 (Pubitemid 37168052)
23. T. Takagi, and M. Sugeno Fuzzy identification of systems and its applications to modeling and control IEEE Transactions on Systems Man and Cybernetics 15 1985 116 132
24. Y.M. Wang, and M. Taha Elhag, an adaptive neuro-fuzzy inference system for bridge risk assessment Expert Systems with Applications 34 2008 3099 3106
25. J.H. Tay, and X. Zhang Neural fuzzy modeling of anaerobic biological wastewater treatment systems Journal of Environmental Engineering - ASCE 125 1999 1149 1159 (Pubitemid 30083258)