An Artificial Neural Network Model for Wastewater Treatment Plant of Konya

Authors

  • Abdullah Erdal Tumer Necmettin Erbakan University
  • Serpil Edebali Selcuk University

DOI:

https://doi.org/10.18201/ijisae.65358

Keywords:

Artificial Neural Network, Modelling, Wastewater Treatment Plant, Performance

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.

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Published

31.12.2015

How to Cite

Tumer, A. E., & Edebali, S. (2015). An Artificial Neural Network Model for Wastewater Treatment Plant of Konya. International Journal of Intelligent Systems and Applications in Engineering, 3(4), 131–135. https://doi.org/10.18201/ijisae.65358

Issue

Section

Research Article