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Evaluation of electromagnetic filtration efficiency using least squares support vector model

Yuceer M., Yildiz Z., Abbasov T.

Physicochemical Problems of Mineral Processing

2015

Vol. 51, iss. 1

173--180

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.

Modelling of distributed parameter nonlinear systems by differential Taylor method

Abbasov T., Herdem S., Koeksal M.

Control and Cybernetics

1999

Vol. 28, no 2

259-267

Modelling, solution, control and even design of many ecological and engineering systems involve dealing with nonlinear partial differential equations of which analytic solutions are rarely available and numerical approach with or without linearization, or approximation is inevitable most of the time. In this paper the possibility of analysing such systems by using a fairly new method known as Differential Taylor (DT) Transform and its advantages are proved. The results obtained by this method are compared with the experimental results and shown to be within good agreement with them. It is emphasised that DT Transform is not effective for only filtration systems, but can also be used equally well for absorption, heat and mass transfer, convective diffusion and similar systems.