Separation of lead ions from wastewater using electrodialysis: Comparing mathematical and neural network modeling

[1]  Akbar Shahsavand,et al.  Neural networks modeling of hollow fiber membrane processes , 2007 .

[2]  Farouq S Mjalli,et al.  Use of artificial neural network black-box modeling for the prediction of wastewater treatment plants performance. , 2007, Journal of environmental management.

[3]  M. Sadrzadeh,et al.  Separation of different ions from wastewater at various operating conditions using electrodialysis , 2007 .

[4]  Nidal Hilal,et al.  Rejection and modelling of sulphate and potassium salts by nanofiltration membranes: neural network and Spiegler–Kedem model , 2007 .

[5]  Toraj Mohammadi,et al.  Mathematical modeling of desalination by electrodialysis , 2007 .

[6]  K. L. Edwards,et al.  The use of artificial neural networks in materials science based research , 2007 .

[7]  Stefano Curcio,et al.  REDUCTION AND CONTROL OF FLUX DECLINE IN CROSS-FLOW MEMBRANE PROCESSES MODELED BY ARTIFICIAL NEURAL NETWORKS , 2006 .

[8]  G. B. Sahoo,et al.  Predicting flux decline in crossflow membranes using artificial neural networks and genetic algorithms , 2006 .

[9]  Lei Wang,et al.  Radial Basis Function Neural Networks-Based Modeling of the Membrane Separation Process: Hydrogen Recovery from Refinery Gases , 2006 .

[10]  Cumali Kinaci,et al.  Modeling of submerged membrane bioreactor treating cheese whey wastewater by artificial neural network. , 2006, Journal of biotechnology.

[11]  A. Kim,et al.  Prediction of permeate flux decline in crossflow membrane filtration of colloidal suspension: a radial basis function neural network approach , 2006 .

[12]  Sunando DasGupta,et al.  Modeling the performance of batch ultrafiltration of synthetic fruit juice and mosambi juice using artificial neural network , 2005 .

[13]  Abderrahim Abbas,et al.  Modeling of an RO water desalination unit using neural networks , 2005 .

[14]  S. Chellam,et al.  Predicting RO/NF water quality by modified solution diffusion model and artificial neural networks , 2005 .

[15]  Shankararaman Chellam,et al.  Artificial neural network model for transient crossflow microfiltration of polydispersed suspensions , 2005 .

[16]  Thomas Melin,et al.  Modelling approaches for filtration processes with novel submerged capillary modules in membrane bioreactors for wastewater treatment , 2005 .

[17]  Coskun Aydiner,et al.  Modeling of flux decline in crossflow microfiltration using neural networks: the case of phosphate removal , 2005 .

[18]  Luke E. K. Achenie,et al.  A hybrid neural network model for PEM fuel cells , 2005 .

[19]  Stefano Curcio,et al.  Ultrafiltration of BSA in pulsating conditions: an artificial neural networks approach , 2005 .

[20]  Toraj Mohammadi,et al.  Modeling of metal ion removal from wastewater by electrodialysis , 2005 .

[21]  M. Sadrzadeh,et al.  Separation of copper ions by electrodialysis using Taguchi experimental design , 2004 .

[22]  Toraj Mohammadi,et al.  Effect of operating parameters on Pb2+ separation from wastewater using electrodialysis* , 2004 .

[23]  Won-Yong Lee,et al.  Empirical modeling of polymer electrolyte membrane fuel cell performance using artificial neural networks , 2004 .

[24]  Seyed Mohammad Ali Razavi,et al.  Dynamic prediction of milk ultrafiltration performance: A neural network approach , 2003 .

[25]  Toraj Mohammadi,et al.  Water shortage and seawater desalination by electrodialysis , 2003 .

[26]  Ali Mortazavi,et al.  Dynamic modelling of milk ultrafiltration by artificial neural network , 2003 .

[27]  S. Chellam,et al.  Predicting membrane fouling during municipal drinking water nanofiltration using artificial neural networks , 2003 .

[28]  S. Chellam,et al.  Predicting contaminant removal during municipal drinking water nanofiltration using artificial neural networks , 2003 .

[29]  Chiranjib Bhattacharjee,et al.  Studies on the applicability of artificial neural network (ANN) in continuous stirred ultrafiltration , 2002 .

[30]  Y. A. Liu,et al.  Predictive Modeling of Large-Scale Commercial Water Desalination Plants: Data-Based Neural Network and Model-Based Process Simulation , 2002 .

[31]  Michel Cabassud,et al.  Neural networks: a tool to improve UF plant productivity , 2002 .

[32]  Stefano Curcio,et al.  Monitoring and control of TMP and feed flow rate pulsatile operations during ultrafiltration in a membrane module , 2002 .

[33]  P. Cañizares,et al.  Recovery of heavy metals by means of ultrafiltration with water-soluble polymers: calculation of design parameters , 2002 .

[34]  M. Loizidou,et al.  Equilibrium and kinetic ion exchange studies of Pb2+, Cr3+, Fe3+ and Cu2+ on natural clinoptilolite. , 2002, Water research.

[35]  J. Calvo,et al.  Dynamic crossflow ultrafiltration of colloids: a deposition probability cake filtration approach , 2001 .

[36]  N. Kabay,et al.  Cost comparison and efficiency modeling in the electrodialysis of brine , 2001 .

[37]  Ali Zilouchian,et al.  Adaptive receptive fields for radial basis functions , 2001 .

[38]  P. Alvarez,et al.  Heavy metal removal with Mexican clinoptilolite: multi-component ionic exchange. , 2001, Water research.

[39]  Michel Cabassud,et al.  Neural networks for long term prediction of fouling and backwash efficiency in ultrafiltration for drinking water production , 2000 .

[40]  Octavian Pastravanu,et al.  Neural network models for ultrafiltration and backwashing , 2000 .

[41]  R. Juang,et al.  Metal recovery and EDTA recycling from simulated washing effluents of metal-contaminated soils , 2000 .

[42]  J. Aguilar,et al.  Solvent extraction of Ga(III), Cd(II), Fe(III), Zn(II), Cu(II), and Pb(II) with ADOGEN 364 dissolved in kerosene from 1–4 mol dm−3 HCl media , 2000 .

[43]  W. Richard Bowen,et al.  Predicting salt rejections at nanofiltration membranes using artificial neural networks , 2000 .

[44]  P. Zhou,et al.  Heavy metal removal from wastewater in fluidized bed reactor , 1999 .

[45]  Michel Cabassud,et al.  Dynamic modelling of crossflow microfiltration of bentonite suspension using recurrent neural networks , 1999 .

[46]  A. Ayame,et al.  Solvent extraction of Pb(II) from acid medium with zinc hexamamethylenedithiocarbamate followed by back-extraction and subsequent determination by FAAS , 1999 .

[47]  M. El-Maazawi,et al.  Polarographic and Voltammetric Determination of Some Toxic Heavy Metal Ions in the Treated Wastewater at Abu-Dhabi, U.A.E. , 1999 .

[48]  J. Sandeaux,et al.  Electroextraction of Pb2+ ions from diluted solutions by a process combining ion-exchange textiles and membranes , 1998 .

[49]  J. Laîné,et al.  Neural networks for prediction of ultrafiltration transmembrane pressure – application to drinking water production , 1998 .

[50]  W. Richard Bowen,et al.  Prediction of the rate of crossflow membrane ultrafiltration of colloids: A neural network approach , 1998 .

[51]  M. Bustard,et al.  Biosorption of heavy metals by distillery-derived biomass , 1998 .

[52]  Michel Cabassud,et al.  Modelling of ultrafiltration fouling by neural network , 1998 .

[53]  G. C. April,et al.  Selective lead ion recovery from multiple cation waste streams using the membrane-electrode process , 1998 .

[54]  W. Richard Bowen,et al.  DYNAMIC ULTRAFILTRATION OF PROTEINS-A NEURAL NETWORK APPROACH , 1998 .

[55]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[56]  V. Andreoni,et al.  Heavy metal biosorption by bacterial cells , 1998 .

[57]  Khawla Abdulmohsen Al-Shayhi.  Modeling, simulation and optimization of large-scale commercial desalination plants , 1998 .

[58]  Goutam Banerjee,et al.  The role of salvinia rotundifolia in scavenging aquatic Pb (II) pollution: a case study , 1997 .

[59]  Eric Latrille,et al.  Application of artificial neural networks for crossflow microfiltration modelling: “black-box” and semi-physical approaches , 1997 .

[60]  M. Merroun,et al.  Removal of lead from aqueous solutions by Myxococcus xanthus , 1996 .

[61]  A. Levine,et al.  Microbial biosorption of copper and lead from aqueous systems. , 1995, The Science of the total environment.

[62]  J. M. Brady,et al.  Binding of hard and soft metal ions to Rhizopus arrhizus biomass , 1995 .

[63]  Abhay B. Bulsari,et al.  SIMULATION OF MEMBRANE SEPARATION BY NEURAL NETWORKS , 1995 .

[64]  G. Trystram,et al.  Dynamic modeling of crossflow microfiltration using neural networks , 1995 .

[65]  Ian Flood,et al.  Neural Networks in Civil Engineering. I: Principles and Understanding , 1994 .

[66]  David M. Skapura,et al.  Neural networks - algorithms, applications, and programming techniques , 1991, Computation and neural systems series.

[67]  Benjamin W. Wah,et al.  Artificial Neural Networks: Concepts and Theory , 1990 .

[68]  Kurt Hornik,et al.  Multilayer feedforward networks are universal approximators , 1989, Neural Networks.

[69]  Ain A. Sonin,et al.  Optimization of Flow Design in Forced Flow Electrochemical Systems, with Special Application to Electrodialysis , 1974 .