Development of artificial neural network model for the analysis of wastewater treatment

Jami, Mohammed Saedi (2012) Development of artificial neural network model for the analysis of wastewater treatment. Research Report. s.n, Kuala Lumpur. (Unpublished)

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Abstract

A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the performance of wastewater treatment plant (WWTP). Extensive influent and effluent parameters database containing measured data spanning over two years of period was used to develop and train ANN using ANN toolbox in commercially available software, MATLAB. The data were obtained from one of Sewage Treatment Plant in Malaysia. The input parameters for the ANN were BOD,SS, and COD of the influent, while the output parameters were combination of the effluent characteristics. The networks for single input-single output were compared with those of single input-multiple output.

Item Type:	Monograph (Research Report)
Additional Information:	5545/35513
Uncontrolled Keywords:	Artificial neural network, wastewater treatment, regression analysis, data screening, principal component analysis
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User:	Sr. Norsyaziela Zulkefli
Date Deposited:	10 Mar 2014 16:58
Last Modified:	10 Mar 2014 16:58
URI:	http://irep.iium.edu.my/id/eprint/35513

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