Gaya, M. S. and Wahab, N. A. and Sam, Y. M. and Razali, M. C. and Samsudin, S. I. (2013) Neuro-fuzzy modelling of wastewater treatment system. In: Proceedings - 2012 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2012.
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Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Electrical Engineering |
| ID Code: | 51195 |
| Deposited By: | Haliza Zainal |
| Deposited On: | 27 Jan 2016 01:53 |
| Last Modified: | 17 Sep 2017 08:38 |
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