Neural fuzzy modeling of anaerobic biological wastewater treatment systems
Journal Article
·
· Journal of Environmental Engineering (New York)
Anaerobic biological wastewater treatment systems are difficult to model because their performance is complex and varies significantly with different reactor configurations, influent characteristics, and operational conditions. Instead of conventional kinetic modeling, advanced neural fuzzy technology was employed to develop a conceptual adaptive model for anaerobic treatment systems. The conceptual neural fuzzy model contains the robustness of fuzzy systems, the learning ability of neural networks, and can adapt to various situations. The conceptual model was used to simulate the daily performance of two high-rate anaerobic wastewater treatment systems with satisfactory results obtained.
- Research Organization:
- Nanyang Technological Univ. (SG)
- OSTI ID:
- 20005435
- Journal Information:
- Journal of Environmental Engineering (New York), Vol. 125, Issue 12; Other Information: PBD: Dec 1999; ISSN 0733-9372
- Country of Publication:
- United States
- Language:
- English
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