Neuro-fuzzy modelling of wastewater treatment system
Wastewater treatment system is highly uncertain and intricate system. Suitable model is a key to smooth and optimal operation of the system. The available wastewater treatment system models are too difficult to use and costly to experiment. This pa...
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Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Published: |
2013
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/51195/ http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6487150 |
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Summary: | Wastewater treatment system is highly uncertain and intricate system. Suitable model is a key to smooth and optimal operation of the system. The available wastewater treatment system models are too difficult to use and costly to experiment. This paper presents neuro-fuzzy modelling of wastewater treatment system. Adaptability, smoothness, effectiveness, reliability, less computational and empirical experimentation costs are some of the advantages of neuro-fuzzy approach. Simulation studies show that the proposed neuro-fuzzy technique yielded outstanding results. Thus, proven the technique is an efficient and valuable tool for modelling wastewater treatment system. |
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