Development of artificial neural network model for the analysis of wastewater treatment
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 u...
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| Format: | Monograph |
| Language: | English |
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s.n
2012
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| Online Access: | http://irep.iium.edu.my/35513/ http://irep.iium.edu.my/35513/ http://irep.iium.edu.my/35513/1/EDW_B0805-151_RR.pdf |
| Summary: | 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. |
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