Yıl 2016, Cilt 20 , Sayı 3, Sayfalar 533 - 542 2016-12-01

Polimer içerikli membran verimi tahmininde yapay sinir ağları öğrenme algoritmalarının değerlendirilmesi
Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency

Beytullah Eren [1] , Muhammad Yaqub [2] , Volkan Eyüpoğlu [3]


Bu çalışmanın amacı, polimer içerikli membranlar (PIMs) ile Cr (VI) giderimi için geliştirilecek yapay sinir ağı (YSA) modelinde optimum YSA mimarisi için en uygun öğrenme algoritmasının belirlenmesidir.  Bu amaçla, geliştirilen yapay sinir ağı modelinde Levenberg-Marquardt, Bayesian Regularization, Ölçeklenmiş Konjuge Gradyan olmak üzere 3 faklı öğrenme algoritması uygulanmıştır. Ağ mimarisinin ve kullanılan öğrenme algoritmasının ağın tahmin performansına etkisinin belirlenmesinde Regresyon katsayısı (R2) ve ortalama karesel hata (OKH) teknikleri kullanılmıştır.  Sonuç olarak geliştirilen bir YSA modelinde doğru öğrenme algoritması seçiminin ağın tahmin kabiliyeti açısından önemli olduğu sonucuna varılmıştır.  

The aim of this study is to introduce, through an appropriate selection of the training algorithm, a better and optimum artificial neural network (ANN) that will capable to predict Polymeric Inclusion Membranes (PIMs) Cr(VI) removal efficiency from aqueous solutions. To accomplish that, three training algorithms including Levenberg-Marquardt (LM), Bayesian Regularization (BR) and Scaled Conjugate Gradient (SCG) have been assessed by training different ANN. The performances of developed models are evaluated by Coefficient of Regression (R2) and Root Mean Square Error (RMSE) to find the best ANN training algorithms. This study clears that right choice of the training algorithm grants maximizing the predictive capability of the ANN models.

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Konular Mühendislik
Yayımlanma Tarihi Aralık 2016
Bölüm Araştırma Makalesi
Yazarlar

Yazar: Beytullah Eren

Yazar: Muhammad Yaqub

Yazar: Volkan Eyüpoğlu

Tarihler

Başvuru Tarihi : 28 Nisan 2016
Kabul Tarihi : 27 Temmuz 2016
Yayımlanma Tarihi : 1 Aralık 2016

Bibtex @araştırma makalesi { saufenbilder270010, journal = {Sakarya University Journal of Science}, issn = {1301-4048}, eissn = {2147-835X}, address = {}, publisher = {Sakarya Üniversitesi}, year = {2016}, volume = {20}, pages = {533 - 542}, doi = {10.16984/saufenbilder.14165}, title = {Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency}, key = {cite}, author = {Eren, Beytullah and Yaqub, Muhammad and Eyüpoğlu, Volkan} }
APA Eren, B , Yaqub, M , Eyüpoğlu, V . (2016). Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency. Sakarya University Journal of Science , 20 (3) , 533-542 . DOI: 10.16984/saufenbilder.14165
MLA Eren, B , Yaqub, M , Eyüpoğlu, V . "Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency". Sakarya University Journal of Science 20 (2016 ): 533-542 <http://www.saujs.sakarya.edu.tr/tr/issue/25594/270010>
Chicago Eren, B , Yaqub, M , Eyüpoğlu, V . "Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency". Sakarya University Journal of Science 20 (2016 ): 533-542
RIS TY - JOUR T1 - Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency AU - Beytullah Eren , Muhammad Yaqub , Volkan Eyüpoğlu Y1 - 2016 PY - 2016 N1 - doi: 10.16984/saufenbilder.14165 DO - 10.16984/saufenbilder.14165 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 533 EP - 542 VL - 20 IS - 3 SN - 1301-4048-2147-835X M3 - doi: 10.16984/saufenbilder.14165 UR - https://doi.org/10.16984/saufenbilder.14165 Y2 - 2016 ER -
EndNote %0 Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency %A Beytullah Eren , Muhammad Yaqub , Volkan Eyüpoğlu %T Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency %D 2016 %J Sakarya University Journal of Science %P 1301-4048-2147-835X %V 20 %N 3 %R doi: 10.16984/saufenbilder.14165 %U 10.16984/saufenbilder.14165
ISNAD Eren, Beytullah , Yaqub, Muhammad , Eyüpoğlu, Volkan . "Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency". Sakarya University Journal of Science 20 / 3 (Aralık 2016): 533-542 . https://doi.org/10.16984/saufenbilder.14165
AMA Eren B , Yaqub M , Eyüpoğlu V . Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency. SAUJS. 2016; 20(3): 533-542.
Vancouver Eren B , Yaqub M , Eyüpoğlu V . Assessment of neural network training algorithms for the prediction of polymeric inclusion membranes efficiency. Sakarya University Journal of Science. 2016; 20(3): 542-533.