The object of this study is modeling the effect of the interaction of Na, Ca and Mg ions on the ethanol fermentation process by using Artificial Neural Network (ANN). The obtained model results were compared with the optimised results by The Response Surface Method (RSM) and the experimental laboratory data obtained before. Model success criteria was measured via the parameters of Mean Squared Error (MSE) and the correlation coefficient (R). ANN model input variables were the concentration of ions Na, Ca and Mg (Ca: 692961 g/L, Na: 2093621 g/L, Mg: 4253 g/L) and output was percent ethanol yield. ANN training was done with the Levenberg–Marquardt feed forward algorithm and the data was categorised as 75% training, 15% validation and 15% testing. The maximum epoch value was determined as 14 iterations. R2 values of the system were determined as 99% for education, 99% for validation and 99% for the whole biosorption system. MSE value was 0.0004 for education, 0.00381 for validation and 0.0285 for testing. Different activation functions such as logsig, tansig, purelin and different transfer training algorithm such as trainrp, trainbfg, trainlm and others were tried, tansig and trainlm gave the best results with higher R2 value.
Bioethanol, Artificial Neural Network, Modelling, Fermentation
Birincil Dil  İngilizce 

Konular  Mühendislik 
Bölüm  Research Article 
Yazarlar 

Yayımlanma Tarihi  30 Aralık 2020 
Başvuru Tarihi  2 Ekim 2020 
Kabul Tarihi  2 Aralık 2020 
Yayınlandığı Sayı  Yıl 2020, Cilt 4, Sayı 2 
Bibtex  @araştırma makalesi { asujse804404, journal = {Aksaray University Journal of Science and Engineering}, issn = {}, eissn = {25871277}, address = {Aksaray Üniversitesi, Fen Bilimleri Enstitüsü, Merkez Kampüs, 68100 Aksaray}, publisher = {Aksaray Üniversitesi}, year = {2020}, volume = {4}, pages = {148  158}, doi = {}, title = {Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN)}, key = {cite}, author = {Erdem, Fatma and Özçelik, Dilek and Ergun, Mübeccel} } 
APA  Erdem, F. , Özçelik, D. & Ergun, M. (2020). Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN) . Aksaray University Journal of Science and Engineering , 4 (2) , 148158 . Retrieved from http://asujse.aksaray.edu.tr/tr/pub/issue/58393/804404 
MLA  Erdem, F. , Özçelik, D. , Ergun, M. "Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN)" . Aksaray University Journal of Science and Engineering 4 (2020 ): 148158 <http://asujse.aksaray.edu.tr/tr/pub/issue/58393/804404> 
Chicago  Erdem, F. , Özçelik, D. , Ergun, M. "Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN)". Aksaray University Journal of Science and Engineering 4 (2020 ): 148158 
RIS  TY  JOUR T1  Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN) AU  Fatma Erdem , Dilek Özçelik , Mübeccel Ergun Y1  2020 PY  2020 N1  DO  T2  Aksaray University Journal of Science and Engineering JF  Journal JO  JOR SP  148 EP  158 VL  4 IS  2 SN  25871277 M3  UR  Y2  2020 ER  
EndNote  %0 Aksaray University Journal of Science and Engineering Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN) %A Fatma Erdem , Dilek Özçelik , Mübeccel Ergun %T Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN) %D 2020 %J Aksaray University Journal of Science and Engineering %P 25871277 %V 4 %N 2 %R %U 
ISNAD  Erdem, Fatma , Özçelik, Dilek , Ergun, Mübeccel . "Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN)". Aksaray University Journal of Science and Engineering 4 / 2 (Aralık 2020): 148158 . 
AMA  Erdem F. , Özçelik D. , Ergun M. Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN). Aksaray J. Sci. Eng.. 2020; 4(2): 148158. 
Vancouver  Erdem F. , Özçelik D. , Ergun M. Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN). Aksaray University Journal of Science and Engineering. 2020; 4(2): 148158. 
IEEE  F. Erdem , D. Özçelik ve M. Ergun , "Modeling of Ion Effect on Fermentation for Bioethanol Production using Artificial Neural Network (ANN)", Aksaray University Journal of Science and Engineering, c. 4, sayı. 2, ss. 148158, Ara. 2020 
Aksaray J. Sci. Eng.  eISSN: 25871277  Period: Biannually  Founded: 2017  Publisher: Aksaray University  https://asujse.aksaray.edu.tr
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