Estimation of efficiency urban wastewater treatment plant by artificial neural network
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Key Words: Urban Wastewater Treatment, Parameter, Artificial Neural Network, Multilayer Perceptron Biological oxygen demand (BOD), chemical oxygen demand (COD) and suspended solids (SS) are parameters which are used for measuring the performance of urban wastewater treatment system. In this study, Artificial Neural Network (ANN) model is used to estimate the effluent of the BOD, COD, SS which are the pollution parameters of wastewater treatment plant. The data which are used to develop the model consists of parametres that are the temperature of the wastewater, pH, mean flowrate , BOD, COD and SS. Multilayer Perceptron model which was formed by using data for Adapazarı urban wastewater treatment plant is suitable with the real data.
Author
Sebile Açıkalın
How to Cite
Sebile Açıkalın (Master Thesis). Estimation of efficiency urban wastewater treatment plant by artificial neural network, 2007, Sakarya University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Sakarya University
- Turkey according to the records of the House of Commons (1918-1922)(2011)
- Mawlana Yaqub-i Charkhi And His tafsir(2024)
- Research of teachers' attitudes and self-efficacy perceptions towards distance education application(2024)
- Social policy towards the convicts and ex-convicts in Turkey(2016)
- Karl R. Popper`s democracy approach(1998)
- Investigation of the effect of boric acid addition to bath composition on the properties of nickel coatings deposited from nickel sulfamate baths(2025)