A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant

Ting, Sie Chun and Abdul Malik, Marlinda and Ismail, Amelia Ritahani (2015) A comparative study of clonal selection algorithm for effluent removal forecasting in septic sludge treatment plant. Water Science and Technology, 71 (4). pp. 524-528. ISSN 0273-1223

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Abstract

The development of effluent removal prediction is crucial in providing a planning tool necessary for the future development and the construction of a septic sludge treatment plant (SSTP), especially in the developing countries. In order to investigate the expected functionality of the required standard, the prediction of the effluent quality, namely biological oxygen demand, chemical oxygen demand and total suspended solid of an SSTP was modelled using an artificial intelligence approach. In this paper, we adopt the clonal selection algorithm (CSA) to set up a prediction model, with a wellestablished method – namely the least-square support vector machine (LS-SVM) as a baseline model. The test results of the case study showed that the prediction of the CSA-based SSTP model worked well and provided model performance as satisfactory as the LS-SVM model. The CSA approach shows that fewer control and training parameters are required for model simulation as compared with the LS-SVM approach. The ability of a CSA approach in resolving limited data samples, nonlinear sample function and multidimensional pattern recognition makes it a powerful tool in modelling the prediction of effluent removals in an SSTP.

Item Type:	Article (Journal)
Additional Information:	4296/42776
Uncontrolled Keywords:	biological oxygen demand, chemical oxygen demand, clonal selection algorithm, leastsquare support vector machine, septic sludge treatment plant, total suspended solids
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Computer Science Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User:	Amelia Ritahani Ismail
Date Deposited:	30 Apr 2015 15:27
Last Modified:	27 Sep 2017 08:41
URI:	http://irep.iium.edu.my/id/eprint/42776

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