Evaluation of electromagnetic filtration efficiency using least squares support vector model

• Autorzy: Yuceer M. , Yildiz Z. , Abbasov T.

Identyfikatory

DOI

10.5277/ppmp150116

• Języki publikacji: EN

Abstrakty

EN

The present study aims to apply a least squares support vector model (LS–SVM) for predicting cleaning efficiency of an electromagnetic filtration process, also called quality factor, in order to remove corrosion particles (rust) of low concentrations from water media. For this purpose, three statistical parameters: correlation coefficient, root mean squared error and mean absolute percentage error were calculated for evaluating the performance of the LS–SVM model. It was found that the developed LS–SVM can be used to predict the effectiveness of electromagnetic filtration process.

Słowa kluczowe

EN

electromagnetic filtration; disperse systems; support vector machine (SVM)

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Physicochemical Problems of Mineral Processing
• Rocznik: 2015
• Tom: Vol. 51, iss. 1
• Strony: 173--180
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Yuceer M.

• Department of Chemical Engineering, Faculty of Engineering, Inonu University, Turkey

autor

Yildiz Z.

• Department of Bioengineering, Engineering and Natural Science Faculty, Adana Science and Technology University, Turkey

autor

Abbasov T.

• Department of Electrical and Electronical Engineering, Faculty of Engineering, Inonu University, Turkey

Bibliografia

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• 6. SANDULYAK, A.V., 1988, Magnetic filtration of liquids and gases; Moscow: Ximiya
• 7. SUYKENS, J. A. K., VANDEWALLE, J., 1999, Least squares support vector machines classifiers, Neural Processing Letters, 9:3, 293–300
• 8. SUYKENS, J. A. K., GESTEL, T. V., BRABANTER, J. D., MOOR, B. D., VANDEWALLE, J., 2002, Least squares support vector machines, Singapore: World Scientifics.
• 9. VAPNIK, V., 1998, Statistical Learning Theory; New York: John Wiley
• 10. YILDIZ, Z., ABBASOV, T., SARIMEŞELI, A., 2010, Effect of Some Process Parameters on the Separation of the Dispersed Ferrous Impurities Using Cycled Electromagnetic Filter, Journal of Dispersion Science Technology, 31:8, 1072-1076
• 11. YILDIZ, Z., YUCEER, M., ABBASOV, T., 2011, Comparison of modeling approaches for prediction of cleaning efficiency of the electromagnetic filtration process, Applied Computational Electromagnetics Society Journal, 26:11, 899–906
• 12. LS-SVMLab1.8, 2013, www.esat.kuleuven.ac.be/sista/lssvmlab