-
1
-
-
3242796526
-
Separation of organic-organic mixtures by pervaporation - a review
-
Smitha B., Suhanya D., Sridhar S., Ramakrishna M. Separation of organic-organic mixtures by pervaporation - a review. J. Membr. Sci. 2004, 241:1-21.
-
(2004)
J. Membr. Sci.
, vol.241
, pp. 1-21
-
-
Smitha, B.1
Suhanya, D.2
Sridhar, S.3
Ramakrishna, M.4
-
2
-
-
0342800319
-
Diffusion of organic compounds through chemically asymmetric membranes made of semi-interpenetrating polymer networks
-
Billard P., Nguyen Q.T., Leger C., Clement R. Diffusion of organic compounds through chemically asymmetric membranes made of semi-interpenetrating polymer networks. Sep. Purif. Technol. 1998, 14:221-232.
-
(1998)
Sep. Purif. Technol.
, vol.14
, pp. 221-232
-
-
Billard, P.1
Nguyen, Q.T.2
Leger, C.3
Clement, R.4
-
3
-
-
0022129684
-
Review, the separation potential of pervaporation: part 2. Process design and economics
-
Rautenbach R., Albrecht R. Review, the separation potential of pervaporation: part 2. Process design and economics. J. Membr. Sci. 1985, 25:25-54.
-
(1985)
J. Membr. Sci.
, vol.25
, pp. 25-54
-
-
Rautenbach, R.1
Albrecht, R.2
-
4
-
-
0035282288
-
Preparation and study of crosslinked polyurethane films to fractionate toluene-n-heptane mixtures by pervaporation
-
Roizard D., Nilly D., Lochon P. Preparation and study of crosslinked polyurethane films to fractionate toluene-n-heptane mixtures by pervaporation. Sep. Purif. Technol. 2001, 22-23:45-52.
-
(2001)
Sep. Purif. Technol.
, vol.22-23
, pp. 45-52
-
-
Roizard, D.1
Nilly, D.2
Lochon, P.3
-
5
-
-
1842561688
-
Separation of aromatic/aliphatic hydrocarbons by photo-modified poly(acrylonitrile) membranes
-
Frahn J., Malsch G., Matuschewski H., Schedler U., Schwarz H.H. Separation of aromatic/aliphatic hydrocarbons by photo-modified poly(acrylonitrile) membranes. J. Membr. Sci. 2004, 234:55-65.
-
(2004)
J. Membr. Sci.
, vol.234
, pp. 55-65
-
-
Frahn, J.1
Malsch, G.2
Matuschewski, H.3
Schedler, U.4
Schwarz, H.H.5
-
6
-
-
0032139301
-
Ultrathin membranes for gas separation and pervaporation prepared upon electrostatic self-assembly of polyelectrolytes
-
Ackern F.V., Krasemann L., Tieke B. Ultrathin membranes for gas separation and pervaporation prepared upon electrostatic self-assembly of polyelectrolytes. Thin Solid Films 1998, 327-329:762-766.
-
(1998)
Thin Solid Films
, vol.327-329
, pp. 762-766
-
-
Ackern, F.V.1
Krasemann, L.2
Tieke, B.3
-
7
-
-
37749001104
-
Synthesis of polyimides containing fluorine and their pervaporation performances to aromatic/aliphatic hydrocarbon mixtures
-
Ye H., Li J., Lin Y., Chen J. Synthesis of polyimides containing fluorine and their pervaporation performances to aromatic/aliphatic hydrocarbon mixtures. J. Macromol. Sci. A: Pure Appl. Chem. 2008, 45:172-178.
-
(2008)
J. Macromol. Sci. A: Pure Appl. Chem.
, vol.45
, pp. 172-178
-
-
Ye, H.1
Li, J.2
Lin, Y.3
Chen, J.4
-
8
-
-
62649089664
-
Investigation of pervaporation hybrid polyvinylchloride membranes for the separation of toluene n-heptane mixtures - case of clays as filler
-
Aouinti L., Roizard L., Hu G.H., Thomas F., Belbachir M. Investigation of pervaporation hybrid polyvinylchloride membranes for the separation of toluene n-heptane mixtures - case of clays as filler. Desalination 2009, 241:174-181.
-
(2009)
Desalination
, vol.241
, pp. 174-181
-
-
Aouinti, L.1
Roizard, L.2
Hu, G.H.3
Thomas, F.4
Belbachir, M.5
-
9
-
-
0035555761
-
Modeling of pervaporation: models to predict the mass transport in pervaporation
-
Lipnizki F., Trägårdh G. Modeling of pervaporation: models to predict the mass transport in pervaporation. Sep. Purif. Rev. 2001, 30(1):49-125.
-
(2001)
Sep. Purif. Rev.
, vol.30
, Issue.1
, pp. 49-125
-
-
Lipnizki, F.1
Trägårdh, G.2
-
10
-
-
0028987364
-
Dynamic modeling of crossflow microfiltration using neural networks
-
Dornier M., Decloux M., Trystram G., Lebert A. Dynamic modeling of crossflow microfiltration using neural networks. J. Membr. Sci. 1995, 98:263-273.
-
(1995)
J. Membr. Sci.
, vol.98
, pp. 263-273
-
-
Dornier, M.1
Decloux, M.2
Trystram, G.3
Lebert, A.4
-
11
-
-
77349122829
-
Prediction of microfiltration membrane fouling using artificial neural network models
-
Liu Q.F., Kim S.H., Lee S. Prediction of microfiltration membrane fouling using artificial neural network models. Sep. Purif. Technol. 2009, 70:96-102.
-
(2009)
Sep. Purif. Technol.
, vol.70
, pp. 96-102
-
-
Liu, Q.F.1
Kim, S.H.2
Lee, S.3
-
12
-
-
77953387911
-
Treatment of oily wastewater using low cost ceramic membrane: comparative assessment of pore blocking and artificial neural network models
-
Nandi B.K., Moparthi A., Uppaluri R., Purkait M.K. Treatment of oily wastewater using low cost ceramic membrane: comparative assessment of pore blocking and artificial neural network models. Chem. Eng. Res. Des. 2010, 88:881-892.
-
(2010)
Chem. Eng. Res. Des.
, vol.88
, pp. 881-892
-
-
Nandi, B.K.1
Moparthi, A.2
Uppaluri, R.3
Purkait, M.K.4
-
13
-
-
71849117433
-
Joint analysis of transient flux behaviors via membrane fouling in hybrid PAC/MF processes using neural network
-
Aydiner C., Demir I., Keskinler B., Ince O. Joint analysis of transient flux behaviors via membrane fouling in hybrid PAC/MF processes using neural network. Desalination 2010, 250:188-196.
-
(2010)
Desalination
, vol.250
, pp. 188-196
-
-
Aydiner, C.1
Demir, I.2
Keskinler, B.3
Ince, O.4
-
14
-
-
33645931361
-
Prediction of permeate flux decline in crossflow membrane filtration of colloidal suspension: a radial basis function neural network approach
-
Chen H., Kim A.S. Prediction of permeate flux decline in crossflow membrane filtration of colloidal suspension: a radial basis function neural network approach. Desalination 2006, 192:415-428.
-
(2006)
Desalination
, vol.192
, pp. 415-428
-
-
Chen, H.1
Kim, A.S.2
-
15
-
-
33747889741
-
Predicting flux decline in cross-flow membranes using artificial neural networks and genetic algorithms
-
Sahoo G.B., Ray C. Predicting flux decline in cross-flow membranes using artificial neural networks and genetic algorithms. J. Membr. Sci. 2006, 283:147-157.
-
(2006)
J. Membr. Sci.
, vol.283
, pp. 147-157
-
-
Sahoo, G.B.1
Ray, C.2
-
16
-
-
33645931361
-
Prediction of permeate flux decline in cross-flow membrane filtration of colloidal suspension: a radial basis function neural networkapproach
-
Chen H., Kim A.S. Prediction of permeate flux decline in cross-flow membrane filtration of colloidal suspension: a radial basis function neural networkapproach. Desalination 2006, 192:415-428.
-
(2006)
Desalination
, vol.192
, pp. 415-428
-
-
Chen, H.1
Kim, A.S.2
-
17
-
-
0043169729
-
Dynamic modeling of milk ultrafiltration by artificial neural network
-
Razavi S.M.A., Mousavi S.M., Mortazavi S.A. Dynamic modeling of milk ultrafiltration by artificial neural network. J. Membr. Sci. 2003, 220(18):47-58.
-
(2003)
J. Membr. Sci.
, vol.220
, Issue.18
, pp. 47-58
-
-
Razavi, S.M.A.1
Mousavi, S.M.2
Mortazavi, S.A.3
-
18
-
-
0742305956
-
Application of neural networks for crossflow milk ultrafiltration simulation
-
Razavi M.A., Mortazavi A., Mousavi M. Application of neural networks for crossflow milk ultrafiltration simulation. Int. Dairy J. 2004, 14:69-80.
-
(2004)
Int. Dairy J.
, vol.14
, pp. 69-80
-
-
Razavi, M.A.1
Mortazavi, A.2
Mousavi, M.3
-
19
-
-
20744456034
-
Modeling the performance of batch ultrafiltration of synthetic fruit juice and mosambi juice using artificial neural network
-
Rai P., Majumdar G.C., DasGupta S., De S. Modeling the performance of batch ultrafiltration of synthetic fruit juice and mosambi juice using artificial neural network. J. Food Eng. 2005, 71:273-281.
-
(2005)
J. Food Eng.
, vol.71
, pp. 273-281
-
-
Rai, P.1
Majumdar, G.C.2
DasGupta, S.3
De, S.4
-
20
-
-
10944249746
-
Ultrafiltration of BSA in pulsating conditions: an artificial neural networks approach
-
Curcio S., Scilingo G., Calabro V., Iorio G. Ultrafiltration of BSA in pulsating conditions: an artificial neural networks approach. J. Membr. Sci. 2005, 246(2):235-247.
-
(2005)
J. Membr. Sci.
, vol.246
, Issue.2
, pp. 235-247
-
-
Curcio, S.1
Scilingo, G.2
Calabro, V.3
Iorio, G.4
-
21
-
-
33751174542
-
Reduction and control of flux decline in crossflow membrane processes modeled by artificial neural networks
-
Curcio S., Calabro V., Iorio G. Reduction and control of flux decline in crossflow membrane processes modeled by artificial neural networks. J. Membr. Sci. 2006, 286:125-132.
-
(2006)
J. Membr. Sci.
, vol.286
, pp. 125-132
-
-
Curcio, S.1
Calabro, V.2
Iorio, G.3
-
22
-
-
60549093196
-
Predition of permeate flux during electric field enhanced cross-flow ultrafiltration-A neural network approach
-
Sarkar B., Sengupta A., De S., DasGupta S. Predition of permeate flux during electric field enhanced cross-flow ultrafiltration-A neural network approach. Sep. Purif. Technol. 2009, 65:260-268.
-
(2009)
Sep. Purif. Technol.
, vol.65
, pp. 260-268
-
-
Sarkar, B.1
Sengupta, A.2
De, S.3
DasGupta, S.4
-
23
-
-
78149280764
-
Modeling and optimization of membrane fabrication using artificial neural network and genetic algorithm
-
Madaeni S.S., Tavajohi Hasankiadeh N., Kurdian A.R., Rahimpour A. Modeling and optimization of membrane fabrication using artificial neural network and genetic algorithm. Sep. Purif. Technol. 2010, 76:33-43.
-
(2010)
Sep. Purif. Technol.
, vol.76
, pp. 33-43
-
-
Madaeni, S.S.1
Tavajohi Hasankiadeh, N.2
Kurdian, A.R.3
Rahimpour, A.4
-
24
-
-
71549144442
-
Predicting the flux decline in milk cross-flow ceramic ultrafiltration by artificial neural networks
-
Guadix A., Zapata J.E., Almecija M.C., Guadix E.M. Predicting the flux decline in milk cross-flow ceramic ultrafiltration by artificial neural networks. Desalination 2010, 250:1118-1120.
-
(2010)
Desalination
, vol.250
, pp. 1118-1120
-
-
Guadix, A.1
Zapata, J.E.2
Almecija, M.C.3
Guadix, E.M.4
-
25
-
-
0038054285
-
Predicting membrane fouling during municipal drinking water nanofiltration using artificial neural Networks
-
Shetty G.R., Chellam S. Predicting membrane fouling during municipal drinking water nanofiltration using artificial neural Networks. J. Membr. Sci. 2003, 217:69-86.
-
(2003)
J. Membr. Sci.
, vol.217
, pp. 69-86
-
-
Shetty, G.R.1
Chellam, S.2
-
26
-
-
0034631748
-
Predicting salt rejection at nanofiltration membranes using artificial neural networks
-
Bowen W.R., Jones M.G., Webfoot J.S., Yousef H.N.S. Predicting salt rejection at nanofiltration membranes using artificial neural networks. Desalination 2000, 129:147-162.
-
(2000)
Desalination
, vol.129
, pp. 147-162
-
-
Bowen, W.R.1
Jones, M.G.2
Webfoot, J.S.3
Yousef, H.N.S.4
-
27
-
-
33846786458
-
Rejection and modeling of sulphate and potassium salts by nanofiltration membranes: neural network and Spiegler-Kedem model
-
Al-Zoubi H., Hilal N., Darwish N.A., Mohammad A.W. Rejection and modeling of sulphate and potassium salts by nanofiltration membranes: neural network and Spiegler-Kedem model. Desalination 2007, 206:42-60.
-
(2007)
Desalination
, vol.206
, pp. 42-60
-
-
Al-Zoubi, H.1
Hilal, N.2
Darwish, N.A.3
Mohammad, A.W.4
-
28
-
-
0028989580
-
Simulation of membrane separation by neural networks
-
Niemi H., Bulsari A., Palosaari S. Simulation of membrane separation by neural networks. J. Membr. Sci. 1995, 102:185-191.
-
(1995)
J. Membr. Sci.
, vol.102
, pp. 185-191
-
-
Niemi, H.1
Bulsari, A.2
Palosaari, S.3
-
29
-
-
24944461921
-
Predicting RO/NFwater quality by modified solution diffusion model and artificial neural networks
-
Zhao Y., Taylor J.S., Chellam S. Predicting RO/NFwater quality by modified solution diffusion model and artificial neural networks. J. Membr. Sci. 2005, 263:38-46.
-
(2005)
J. Membr. Sci.
, vol.263
, pp. 38-46
-
-
Zhao, Y.1
Taylor, J.S.2
Chellam, S.3
-
30
-
-
27744448208
-
Modeling of an RO water desalination unit using neural networks
-
Abbas A., Al-Bastaki N. Modeling of an RO water desalination unit using neural networks. Chem. Eng. J. 2005, 114:139-143.
-
(2005)
Chem. Eng. J.
, vol.114
, pp. 139-143
-
-
Abbas, A.1
Al-Bastaki, N.2
-
31
-
-
46449122568
-
Neural networks for predictive modeling and optimization of large-scale commercial water desalination plants
-
Al-Shayji K., Liu Y.A. Neural networks for predictive modeling and optimization of large-scale commercial water desalination plants. Proc. IDAWorld Congress Desalination Water Sci. 1 1997, 1-15.
-
(1997)
Proc. IDAWorld Congress Desalination Water Sci. 1
, pp. 1-15
-
-
Al-Shayji, K.1
Liu, Y.A.2
-
32
-
-
0037065279
-
Predictive modeling of large-scale commercial water desalination plants: data-based neural network and model-based process simulation
-
Al-Shayji K., Liu Y.A. Predictive modeling of large-scale commercial water desalination plants: data-based neural network and model-based process simulation. Ind. Eng. Chem. Res. 2002, 41(25):6460-6474.
-
(2002)
Ind. Eng. Chem. Res.
, vol.41
, Issue.25
, pp. 6460-6474
-
-
Al-Shayji, K.1
Liu, Y.A.2
-
33
-
-
0035917629
-
Adaptive receptive fields for radial basis functions
-
Jafar M.M., Zilouchian A. Adaptive receptive fields for radial basis functions. Desalination 2001, 135:83-91.
-
(2001)
Desalination
, vol.135
, pp. 83-91
-
-
Jafar, M.M.1
Zilouchian, A.2
-
34
-
-
34248587417
-
Neural networks modeling of hollow fiber membrane processes
-
Shahsavand A., Pourafshari Chenar M. Neural networks modeling of hollow fiber membrane processes. J. Membr. Sci. 2007, 297:59-73.
-
(2007)
J. Membr. Sci.
, vol.297
, pp. 59-73
-
-
Shahsavand, A.1
Pourafshari Chenar, M.2
-
35
-
-
33750307883
-
Radial basis function neural networks based modeling of the membrane separation process: hydrogen recovery from refinery gases
-
Wang L., Shao C., Wang H., Wu H. Radial basis function neural networks based modeling of the membrane separation process: hydrogen recovery from refinery gases. J. Nat. Gas Chem. 2006, 15:230-234.
-
(2006)
J. Nat. Gas Chem.
, vol.15
, pp. 230-234
-
-
Wang, L.1
Shao, C.2
Wang, H.3
Wu, H.4
-
36
-
-
70450128099
-
C3H8 separation from CH4 and H2 using a synthesized PDMS membrane: experimental and neural network modeling
-
Shokrian M., Sadrzadeh M., Mohammadi T. C3H8 separation from CH4 and H2 using a synthesized PDMS membrane: experimental and neural network modeling. J. Membr. Sci. 2010, 346:59-70.
-
(2010)
J. Membr. Sci.
, vol.346
, pp. 59-70
-
-
Shokrian, M.1
Sadrzadeh, M.2
Mohammadi, T.3
-
37
-
-
27644555231
-
Modeling approaches for filtration processes with novel submerged capillary modules in membrane bioreactors for wastewater treatment
-
Geissler S., Wintgens T., Melin T., Vossenkaul K., Kullmann C. Modeling approaches for filtration processes with novel submerged capillary modules in membrane bioreactors for wastewater treatment. Desalination 2005, 178:125-134.
-
(2005)
Desalination
, vol.178
, pp. 125-134
-
-
Geissler, S.1
Wintgens, T.2
Melin, T.3
Vossenkaul, K.4
Kullmann, C.5
-
38
-
-
33745941576
-
Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network
-
Cinar O., Hasar H., Kinaci C. Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network. J. Biotechnol. 2006, 123:204-209.
-
(2006)
J. Biotechnol.
, vol.123
, pp. 204-209
-
-
Cinar, O.1
Hasar, H.2
Kinaci, C.3
-
39
-
-
53449086599
-
Separation of lead ions from wastewater using electrodialysis: comparing mathematical and neural network modeling
-
Sadrzadeh M., Mohammadi T., Ivakpour J., Kasiri N. Separation of lead ions from wastewater using electrodialysis: comparing mathematical and neural network modeling. Chem. Eng. J. 2008, 144:431-441.
-
(2008)
Chem. Eng. J.
, vol.144
, pp. 431-441
-
-
Sadrzadeh, M.1
Mohammadi, T.2
Ivakpour, J.3
Kasiri, N.4
-
40
-
-
78349307072
-
Prediction of the charged dialysis process performance using a deterministic model
-
Godini H.R., Madaeni S.S., Vasheghani Farahani E., Part I. Prediction of the charged dialysis process performance using a deterministic model. Desalination 2011, 265:1-10.
-
(2011)
Desalination
, vol.265
, pp. 1-10
-
-
Godini, H.R.1
Madaeni, S.S.2
Vasheghani Farahani, E.3
Part, I.4
-
41
-
-
38849104776
-
MSE - modified membranes in organophilic pervaporation for aromatics/aliphatics separation
-
Matuschewski H., Schedler H. MSE - modified membranes in organophilic pervaporation for aromatics/aliphatics separation. Desalination 2008, 224:124-131.
-
(2008)
Desalination
, vol.224
, pp. 124-131
-
-
Matuschewski, H.1
Schedler, H.2
-
45
-
-
34249723766
-
The use of artificial neural networks in materials science based research
-
Sha W., Edwards K.L. The use of artificial neural networks in materials science based research. Mater. Des. 2007, 28:1747-1752.
-
(2007)
Mater. Des.
, vol.28
, pp. 1747-1752
-
-
Sha, W.1
Edwards, K.L.2
-
47
-
-
33747889741
-
Predicting flux decline in crossflow membranes using artificial neural networks and genetic algorithms
-
Sahoo G.B., Ray C. Predicting flux decline in crossflow membranes using artificial neural networks and genetic algorithms. J. Membr. Sci. 2006, 283:147-157.
-
(2006)
J. Membr. Sci.
, vol.283
, pp. 147-157
-
-
Sahoo, G.B.1
Ray, C.2
-
48
-
-
0032051569
-
The effect of internal parameters and geometry on performance of back-propagation neural network: an empirical study
-
Maier H.R., Dandy G.C. The effect of internal parameters and geometry on performance of back-propagation neural network: an empirical study. Environ. Model. Softw. 1998, 13:193-209.
-
(1998)
Environ. Model. Softw.
, vol.13
, pp. 193-209
-
-
Maier, H.R.1
Dandy, G.C.2
-
49
-
-
0024880831
-
Multi-layer feedforward networks are universal approximations
-
Hornik K., Stinchombe M., White H. Multi-layer feedforward networks are universal approximations. Neural Netw. 1989, 2:359-366.
-
(1989)
Neural Netw.
, vol.2
, pp. 359-366
-
-
Hornik, K.1
Stinchombe, M.2
White, H.3
-
50
-
-
0028416331
-
Neural networks in civil engineering. I. Principles and understanding
-
Flood I., Kartam N. Neural networks in civil engineering. I. Principles and understanding. J. Comput. Civil Eng. 1994, 8:131-148.
-
(1994)
J. Comput. Civil Eng.
, vol.8
, pp. 131-148
-
-
Flood, I.1
Kartam, N.2
-
51
-
-
15844379482
-
-
Academic Press, San Diego, CA, USA
-
Baughman D.R., Liu Y.A. Neural Network in Bio processing and Chemical Engineering 1995, Academic Press, San Diego, CA, USA.
-
(1995)
Neural Network in Bio processing and Chemical Engineering
-
-
Baughman, D.R.1
Liu, Y.A.2
-
54
-
-
20444445001
-
Artificial neural network model for transient crossflow microfiltration of polydispersed suspension
-
Chellama S. Artificial neural network model for transient crossflow microfiltration of polydispersed suspension. J. Membr. Sci. 2005, 258:35-42.
-
(2005)
J. Membr. Sci.
, vol.258
, pp. 35-42
-
-
Chellama, S.1
-
55
-
-
33746770437
-
Dead-end filtration of yeast suspensions: correlating specific resistance and flux data using artificial neural networks
-
Mhurchu J.N., Foley G. Dead-end filtration of yeast suspensions: correlating specific resistance and flux data using artificial neural networks. J. Membr. Sci. 2006, 281:325-333.
-
(2006)
J. Membr. Sci.
, vol.281
, pp. 325-333
-
-
Mhurchu, J.N.1
Foley, G.2
-
59
-
-
33745727034
-
Multi-objective optimization using genetic algorithms: a tutorial
-
Konak A., Coit D.W., Smith A.E. Multi-objective optimization using genetic algorithms: a tutorial. Reliab. Eng. Syst. Saf. 2006, 91:992-1007.
-
(2006)
Reliab. Eng. Syst. Saf.
, vol.91
, pp. 992-1007
-
-
Konak, A.1
Coit, D.W.2
Smith, A.E.3
|