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Artificial neural network for modeling coagulant dosing for water treatment plants

Olanrewaju, Rashidah Funke and Muyibi, Suleyman Aremu and Salawudeen, T. Olalekan and Aibinu, Abiodun Musa (2011) Artificial neural network for modeling coagulant dosing for water treatment plants. In: 2nd International Conference on Biotechnology Engineering (ICBioE 2011), 17-19 May 2011, The Legend Hotel, Kuala Lumpur.

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Abstract

Coagulation-flocculation process remains a very essential part in the water treatment chain. It involves both physical and chemical phenomena and hence susceptible to high percentage of errors due to human factors. In order to reduce this percentage error and obtain optimal treatment efficiency, an intelligent coagulant dosing based on Artificial Neural Network (ANN) was proposed. Design of the Coagulant dosing using processed Moringa Oleifera seed as coagulant was achieved through ANN that helps in water quality forecast and soft measure. Experimental results with simulated and real data show that the newly developed system is able to accurately predict coagulant dosage needed in water treatment for a small size rural community. The correlation between actual and ANN estimation of coagulant dosing model is 0.97 of 1.00. This high Correlation of coefficient indicates that the NN model is a perfect match. Such coagulant dosing based ANN will be a useful method to address most errors common in water treatment cause by human factors.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4164/27537
Uncontrolled Keywords: component; Artificial Neural Network; Back propagation algorithm; Coagulation; turbidity; water treatment
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
T Technology > TP Chemical technology
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Biotechnology Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Prof SULEYMAN AREMU MUYIBI
Date Deposited: 02 Jan 2013 14:07
Last Modified: 20 Aug 2013 10:47
URI: http://irep.iium.edu.my/id/eprint/27537

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