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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: Gaya, M. S., Wahab, N. A., Sam, Y. M., Razali, M. C., Samsudin, S. I.
Format: Conference or Workshop Item
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/51195/
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6487150
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spelling my.utm.511952017-09-17T08:38:57Z http://eprints.utm.my/id/eprint/51195/ Neuro-fuzzy modelling of wastewater treatment system Gaya, M. S. Wahab, N. A. Sam, Y. M. Razali, M. C. Samsudin, S. I. TK Electrical engineering. Electronics Nuclear engineering 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. 2013 Conference or Workshop Item PeerReviewed 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. http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6487150
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Gaya, M. S.
Wahab, N. A.
Sam, Y. M.
Razali, M. C.
Samsudin, S. I.
Neuro-fuzzy modelling of wastewater treatment system
description 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.
format Conference or Workshop Item
author Gaya, M. S.
Wahab, N. A.
Sam, Y. M.
Razali, M. C.
Samsudin, S. I.
author_facet Gaya, M. S.
Wahab, N. A.
Sam, Y. M.
Razali, M. C.
Samsudin, S. I.
author_sort Gaya, M. S.
title Neuro-fuzzy modelling of wastewater treatment system
title_short Neuro-fuzzy modelling of wastewater treatment system
title_full Neuro-fuzzy modelling of wastewater treatment system
title_fullStr Neuro-fuzzy modelling of wastewater treatment system
title_full_unstemmed Neuro-fuzzy modelling of wastewater treatment system
title_sort neuro-fuzzy modelling of wastewater treatment system
publishDate 2013
url http://eprints.utm.my/id/eprint/51195/
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6487150
_version_ 1643652968599257088
score 13.160551

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