Prediction of Wastewater Treatment Plant Performance Using Multilinear Regression and Artificial Neural Networks

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dc.contributor.authorTumer, Abdullah Erdal
dc.contributor.authorEdebali, Serpil
dc.date.accessioned2020-03-26T19:06:42Z
dc.date.available2020-03-26T19:06:42Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.descriptionInternational Symposium on Innovations in Intelligent SysTems and Applications (INISTA 2015) -- SEP 02-04, 2015 -- Madrid, SPAINen_US
dc.description.abstractIn this study, modeling of Konya wastewater treatment plant was studied by using multilinear regression and artificial neural network with different architectures in SPSS and 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 the input values of pH, temperature, COD, TSS and BOD with output values of COD. To compare the performance of the model, coefficient of determination (R-2) and Mean Squared Error (MSE) were used. In Multilinear regression method, to understand the effects of the tested parameters, regression function was developed. The highest prediction efficiencies was obtained two hidden layers in Artificial Neural Network models. According to the modeling study, Artificial Neural Network models responded more satisfactory results than Multilinear Regression model.en_US
dc.description.sponsorshipUniv Autonoma Madrid, Ai+daen_US
dc.identifier.endpage168en_US
dc.identifier.isbn978-1-4673-7751-5
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage164en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/32448
dc.identifier.wosWOS:000380428200025en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (INISTA) PROCEEDINGSen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectmodelingen_US
dc.subjectmultilinear regressionen_US
dc.subjectartificial neural networken_US
dc.subjectperformanceen_US
dc.titlePrediction of Wastewater Treatment Plant Performance Using Multilinear Regression and Artificial Neural Networksen_US
dc.typeConference Objecten_US

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