Neural Fuzzy Modeling of Anaerobic Biological Wastewater Treatment Systems
Publication: Journal of Environmental Engineering
Volume 125, Issue 12
Abstract
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.
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Information & Authors
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Published In
Journal of Environmental Engineering
Volume 125 • Issue 12 • December 1999
Pages: 1149 - 1159
History
Received: Aug 27, 1998
Published online: Dec 1, 1999
Published in print: Dec 1999
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