Artificial Neural Network Models for Predicting the Energy Consumption of the Process of Crystallization Syrup in Konya Sugar Factory

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dc.authorid0000-0001-7747-9441en_US
dc.authorid0000-0002-4849-747Xen_US
dc.contributor.authorTümer, Abdullah Erdal
dc.contributor.authorKoç, Bilgen Ayan
dc.contributor.authorKoçer, Sabri
dc.date.accessioned2020-01-18T21:02:55Z
dc.date.available2020-01-18T21:02:55Z
dc.date.issued2017
dc.departmentNEÜ, Mühendislik ve Mimarlık Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractIn this study, a model has been developed from the sugar production process stages in Konya Sugar Factory using artificial neural networks to estimate the energy consumption of the process of crystallization syrup. Model developing specific enthalpy, mass and pressure as input layer parameters and consumption energy as output layer was used. 124 different data are taken from Konya Sugar Factory during January 2016. Feed-forward backpropagation algorithm was used in the training phase of the network. Learning function LEARNGDM and the number of hidden layer kept constant as 2 and transfer functions are modified. To find the most optimal model, 27 artificial neural networks with different architectures have been tested. 2-5-1 network architecture was determined as the best suitable network architecture and transfer function is determined logsig function as the optimal transfer function. Optimum results of the model taken in the coefficient of determination was found R 0.98 neural network training, testing and validate was also found to be R 0.98, the performance of the network for not shown data to network was found R0.99en_US
dc.identifier.citationKoc, B. A., Kocer, S., Tümer, A. E. (2017). Artificial Neural Network Models for Predicting the Energy Consumption of The Process of Crystallization Syrup in Konya Sugar Factory. International Journal of Intelligent Systems and Applications in Engineering, 1, 5, 18-21.en_US
dc.identifier.endpage21en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issn2147-6799en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage18en_US
dc.identifier.urihttp://app.trdizin.gov.tr/publication/paper/detail/TWpVNE1qRTVPUT09
dc.identifier.urihttps://hdl.handle.net/20.500.12452/1361
dc.identifier.volume5en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Intelligent Systems and Applications in Engineeringen_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US]
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBilgisayar Bilimlerien_US
dc.subjectYapay Zekaen_US
dc.subjectArtificial Neural Networken_US
dc.subjectModellingen_US
dc.subjectEnergy Consumptionen_US
dc.subjectProcess Of Crystallization Syrupen_US
dc.titleArtificial Neural Network Models for Predicting the Energy Consumption of the Process of Crystallization Syrup in Konya Sugar Factoryen_US
dc.typeArticleen_US

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