The use of artificial neural networks (ANN) for modeling of adsorption of Cr(VI) ions

Artificial neural network (ANN) approach for modeling Zn(II) adsorption from leachate using a new biosorbent

(2011) N. Gamze Turan et al.   CHEMICAL ENGINEERING JOURNAL

The use of artificial neural networks (ANN) for modeling of adsorption of Cu(II) from industrial leachate by pumice

(2011) N. Gamze Turan et al.   CHEMICAL ENGINEERING JOURNAL

Biosorption of Cr(VI) ions from aqueous solutions: Kinetics, equilibrium, thermodynamics and desorption studies

(2011) Biswajit Singha et al.   COLLOIDS AND SURFACES B-BIOINTERFACES

Effects of data normalization and inherent-factor on decision of optimal coagulant dosage in water treatment by artificial neural network

(2009) Guan-De Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Removal of hexavalent chromium from acidic aqueous solutions using rice straw-derived carbon

(2009) Nai-Hua Hsu et al.   JOURNAL OF HAZARDOUS MATERIALS

Saw dust and neem bark as low-cost natural biosorbent for adsorptive removal of Zn(II) and Cd(II) ions from aqueous solutions

(2008) Tarun Kumar Naiya et al.   CHEMICAL ENGINEERING JOURNAL

Removal of Cr(VI) from aqueous solutions using pre-consumer processing agricultural waste: A case study of rice husk

(2008) Manjeet Bansal et al.   JOURNAL OF HAZARDOUS MATERIALS