TY  - JOUR
AU  - Sekulić, Zoran
AU  - Antanasijević, Davor
AU  - Stevanović, S.
AU  - Trivunac, Katarina
PY  - 2017
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/3722
AB  - Complexation-microfiltration process for removal of heavy metal ions such as lead, cadmium and zinc from water had been investigated. Two soluble derivates of cellulose was selected as complexing agents. The dependence of the removal efficiency from the operating parameters (pH value, pressure, concentration of metal ion, concentration of complexing agent and type of counter ion) was established. Two approaches of preparation of input data and two different artificial neural network architectures, general regression neural network and back-propagation neural network have been used for modeling of experimental data. The extrapolation ability of selected architectures, i.e., the prediction of rejection coefficient with inputs beyond the calibration range of original model, was also determined. The predictions were successful, and after evaluation of performances, the models that were developed gave relatively good results of mean absolute percentage error from 4 to 14% and R-squared from 0.717 to 0.852 for general regression neural network and from 0.897 to 0.955 for back-propagation neural network.
PB  - Springer, New York
T2  - International Journal of Environmental Science and Technology
T1  - Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process
EP  - 1396
IS  - 7
SP  - 1383
VL  - 14
DO  - 10.1007/s13762-017-1248-8
ER  - 

@article{
author = "Sekulić, Zoran and Antanasijević, Davor and Stevanović, S. and Trivunac, Katarina",
year = "2017",
abstract = "Complexation-microfiltration process for removal of heavy metal ions such as lead, cadmium and zinc from water had been investigated. Two soluble derivates of cellulose was selected as complexing agents. The dependence of the removal efficiency from the operating parameters (pH value, pressure, concentration of metal ion, concentration of complexing agent and type of counter ion) was established. Two approaches of preparation of input data and two different artificial neural network architectures, general regression neural network and back-propagation neural network have been used for modeling of experimental data. The extrapolation ability of selected architectures, i.e., the prediction of rejection coefficient with inputs beyond the calibration range of original model, was also determined. The predictions were successful, and after evaluation of performances, the models that were developed gave relatively good results of mean absolute percentage error from 4 to 14% and R-squared from 0.717 to 0.852 for general regression neural network and from 0.897 to 0.955 for back-propagation neural network.",
publisher = "Springer, New York",
journal = "International Journal of Environmental Science and Technology",
title = "Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process",
pages = "1396-1383",
number = "7",
volume = "14",
doi = "10.1007/s13762-017-1248-8"
}

Sekulić, Z., Antanasijević, D., Stevanović, S.,& Trivunac, K.. (2017). Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process. in International Journal of Environmental Science and Technology
Springer, New York., 14(7), 1383-1396.
https://doi.org/10.1007/s13762-017-1248-8

Sekulić Z, Antanasijević D, Stevanović S, Trivunac K. Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process. in International Journal of Environmental Science and Technology. 2017;14(7):1383-1396.
doi:10.1007/s13762-017-1248-8 .

Sekulić, Zoran, Antanasijević, Davor, Stevanović, S., Trivunac, Katarina, "Application of artificial neural networks for estimating Cd, Zn, Pb removal efficiency from wastewater using complexation-microfiltration process" in International Journal of Environmental Science and Technology, 14, no. 7 (2017):1383-1396,
https://doi.org/10.1007/s13762-017-1248-8 . .

TY  - JOUR
AU  - Onjia, Antonije
AU  - Jurić, Z.
AU  - Stevanović, S.
AU  - Mitrović, M.
PY  - 1996
UR  - http://TechnoRep.tmf.bg.ac.rs/handle/123456789/70
AB  - Phenol extraction from aqueous solution and its simultaneous concentration into caustic stripping solution using a hollow fiber-in-fiber type membrane contactor was investigated. The phenol separation rate using sunflower oil in gasoline (1:1) as an organic liquid was studied for once-through mode operations. Individual film mass transfer coefficients on the shell side, the tube side and the annulus, as well as the membrane mass transfer coefficients were isolated using Wilson's plot technique. From application of the film theory, and the resistance-in-series approach, the contribution of the individual mass transfer resistances to the overall mass transfer resistance is considered.
PB  - Serbian Chemical Society, Belgrade
T2  - Journal of the Serbian Chemical Society
T1  - Nondispersive solvent extraction-stripping of phenol in a hollow fiber-in-fiber membrane contactor
EP  - 180
IS  - 3
SP  - 173
VL  - 61
UR  - https://hdl.handle.net/21.15107/rcub_technorep_70
ER  - 

@article{
author = "Onjia, Antonije and Jurić, Z. and Stevanović, S. and Mitrović, M.",
year = "1996",
abstract = "Phenol extraction from aqueous solution and its simultaneous concentration into caustic stripping solution using a hollow fiber-in-fiber type membrane contactor was investigated. The phenol separation rate using sunflower oil in gasoline (1:1) as an organic liquid was studied for once-through mode operations. Individual film mass transfer coefficients on the shell side, the tube side and the annulus, as well as the membrane mass transfer coefficients were isolated using Wilson's plot technique. From application of the film theory, and the resistance-in-series approach, the contribution of the individual mass transfer resistances to the overall mass transfer resistance is considered.",
publisher = "Serbian Chemical Society, Belgrade",
journal = "Journal of the Serbian Chemical Society",
title = "Nondispersive solvent extraction-stripping of phenol in a hollow fiber-in-fiber membrane contactor",
pages = "180-173",
number = "3",
volume = "61",
url = "https://hdl.handle.net/21.15107/rcub_technorep_70"
}

Onjia, A., Jurić, Z., Stevanović, S.,& Mitrović, M.. (1996). Nondispersive solvent extraction-stripping of phenol in a hollow fiber-in-fiber membrane contactor. in Journal of the Serbian Chemical Society
Serbian Chemical Society, Belgrade., 61(3), 173-180.
https://hdl.handle.net/21.15107/rcub_technorep_70

Onjia A, Jurić Z, Stevanović S, Mitrović M. Nondispersive solvent extraction-stripping of phenol in a hollow fiber-in-fiber membrane contactor. in Journal of the Serbian Chemical Society. 1996;61(3):173-180.
https://hdl.handle.net/21.15107/rcub_technorep_70 .

Onjia, Antonije, Jurić, Z., Stevanović, S., Mitrović, M., "Nondispersive solvent extraction-stripping of phenol in a hollow fiber-in-fiber membrane contactor" in Journal of the Serbian Chemical Society, 61, no. 3 (1996):173-180,
https://hdl.handle.net/21.15107/rcub_technorep_70 .