An Artificial Neural Network Model for Wastewater Treatment Plant of Konya
Journal Title: International Journal of Intelligent Systems and Applications in Engineering - Year 2015, Vol 3, Issue 4
Abstract
In this study, modelling of Konya wastewater treatment plant was studied by using artificial neural network with different architectures in Matlab software. All data were obtained from wastewater treatment plant of Konya during daily records over four month. Treatment efficiency of the plant was determined by taking into account of input values of pH, temperature, COD, TSS and BOD with output values TSS. Performance of the model was compared via the parameters of Mean Squared Error (MSE), and correlation coefficient (R). The suitable architecture of the neural network model is determined after several trial and error steps. According to the modelling study, the ANN can predict the plant performance with correlation coefficient (R) between the observed and predicted output variable reached up to 0.96.
Authors and Affiliations
Abdullah Erdal TÜMER*| Computer Engineering Department, University of Necmettin Erbakan, Konya, Turkey, Serpil EDEBALİ| Chemical Engineering Department, University of Selçuk, Konya, Turkey
Keywords
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- EP ID EP786
- DOI 10.18201/ijisae.65358
- Views 430
- Downloads 23
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