Applying hybrid artificial intelligence techniques in wastewater treatment

Engineering Applications of Artificial Intelligence

Volumn 11, Issue 6, 1998, Pages 685-705

  Wen, Chien Hsien ^a   Vassiliadis, Costas A ^a  

^a Ohio University   (United States)

Author keywords

Expert systems; G2; Hybrid artificial intelligence systems; Intelligent real time applications; Neural networks; Simulation and control; Wastewater treatment

Indexed keywords

ARTIFICIAL INTELLIGENCE; CONTROL SYSTEMS; EXPERT SYSTEMS; REAL TIME SYSTEMS;

REAL TIME CONTROL;

WASTEWATER TREATMENT;

EID: 0032309266     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0952-1976(98)00036-0     Document Type: Article

References (14)

1. Berthouex, P.M., Lai, W., Darjatmoko, A., 1989. Statistics-based approach to wastewater treatment plant operation. Journal of Environment Engineering 115 (3), .
2. Boger, Z., 1992. Application of neural network to water and wasterwater treatment plant operation. ISA Transactions 31 (1), .
3. Capodglio, A.G., Jones, H.V., Novotny, V., Feng, X., 1991. Sludge bulking analysis and forecasting: application of system identification and artificial neural computing technologies. Water Resource 25 (10), 1217-1224.
4. Chapman, D., Patry, G.G., 1989. Dynamic Modeling and Expert Systems in Wastewater Engineering. Lewis, Chelsea, Michigan.
5. Côté, M., Grandjean, B.P.A., Lessard, P., Thibault, P., 1995. Dynamic modeling of the active sludge process: improving prediction using neural network. Water Resource 29 (4), 995-1004.
6. Geselbracht, J.J., 1988. Issues in rule base development. Journal of Water Resources Planing and Management.
7. Kim, B.J., Bandy, J.T., Gidwam, K.K., Sheiton, S.P., 1988. Artificial intelligence for U.S. army wastewater treatment plant operation and maintenance. USA CERL technical report. N B3 26, US Army Corps Of Engineers.
8. Krovvidy, S., Wee, W.G., 1992. An intelligent hybrid system for wastewater treatment. Hybrid Architectures For Intelligent Systems, Chap. 17. CRC, Boca Raton, FL, pp. 357-377.
9. Lai, W., Berthouex, P.M., 1990. Testing expert system for activated sludge process control. Journal of Environmental Engineering 116 (5), .
10. Perman, C.D., Ortolano, L., 1993. Testing a prototype expert system for diagnosing wastewater treatment plant operating problems. Expert Systems in Environmental Planning. Springer-Verlag, Berlin Heidelberg, New York.
11. Tanthapanichakoon, W., HimmelBalu, D.M., 1981. Simulation of a time-dependent activated sludge wastewater treatment plant. Water Research 15, 1185-1195.
12. Wilcox, S.J., Hawkes, D.L., Hawkes, F.R., Guwy, A.J., 1995. A neural network, based on bicarbonate monitoring, to control anaerobic digestion. Water Resource 29 (6), 1465-1470.
13. Witt, A.R., 1995. Steady-state and dynamic modeling and simulation of a treatment plant. Ph.D. dissertation, Vanderbilt University, Nashville, Tennessee.
14. Ungar, L.H., 1990. A Bioreactor benchmark for adaptive network-based control. In: Proceedings of the 1988 NSF Workshop on Neural Networks for Robotics. MIT Press, Cambridge.