Comparison of Modeling Approaches for Prediction of Cleaning Efficiency of the Electromagnetic Filtration Process
Küçük Resim Yok
Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Applied Computational Electromagnetics Soc
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The present study aims at applying different methods for predicting the cleaning efficiency of the electromagnetic filtration process (psi) in the mixtures of water and corrosion particles (rust) of low concentrations. In our study, artificial neural network (ANN), multivariable least square regression (MLSR), and mechanistic modelling approaches were applied and compared for prediction of the cleaning efficiency for the electromagnetic filtration process. The results clearly show that the use of ANN led to more accurate results than the mechanistic filtration and MLSR models. Therefore, it is expected that this study can be a contribution to the cleaning efficiency.
Açıklama
Anahtar Kelimeler
ANN, electromagnetic filtration, MLSR
Kaynak
Applied Computational Electromagnetics Society Journal
WoS Q Değeri
Q3
Scopus Q Değeri
Q3
Cilt
26
Sayı
11
