Neural Fuzzy Modeling Of Anaerobic Biological
Wastewater Treatment Systems
Author(s)
Joo-Hwa Tay & Xiyue Zhang
Abstract
Anaerobic biological wastewater treatment systems are widely used in strong
organic wastewater treatment. However, modeling of these systems is rather
difficult because the performance of anaerobic process is too complex and varies
significantly with different reactor configurations, influent characteristics and
operational conditions. A robust, adaptive model is necessary for the simulation
and control of anaerobic systems.
As anaerobic systems are too complex to model using conventional kinetic
methods, the advanced neural fuzzy technology is introduced and employed. A
conceptual neural fuzzy model is developed with the integration of a fuzzy
system and a neural network. The conceptual model inherits the robustness from
the fuzzy system
Keywords
Related Book
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