Artificial neural network (ANN) approach for modeling and formulation of phenol adsorption onto activated carbon

Peat-based sorbents for the removal of oil spills from water surface: Application of artificial neural network modeling

(2011) Corneliu Cojocaru et al.   COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS

Artificial neural network modeling in competitive adsorption of phenol and resorcinol from water environment using some carbonaceous adsorbents

(2011) R.M. Aghav et al.   JOURNAL OF HAZARDOUS MATERIALS

Development of an artificial neural network model for adsorption and photocatalysis of reactive dye on TiO2 surface

(2010) Suman Dutta et al.   EXPERT SYSTEMS WITH APPLICATIONS

Removal of phenol from aqueous solutions by adsorption onto organomodified Tirebolu bentonite: Equilibrium, kinetic and thermodynamic study

(2009) Hasan Basri Senturk et al.   JOURNAL OF HAZARDOUS MATERIALS

Minimum miscibility pressure prediction based on a hybrid neural genetic algorithm

(2008) S.A. Mousavi Dehghani et al.   CHEMICAL ENGINEERING RESEARCH & DESIGN

The adsorption of resorcinol from water using multi-walled carbon nanotubes

(2007) Qiu Liao et al.   COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS

Competitive Adsorption of Furfural and Phenolic Compounds onto Activated Carbon in Fixed Bed Column

(2007) Abbas H. Sulaymon et al.   ENVIRONMENTAL SCIENCE & TECHNOLOGY

Artificial neural network (ANN) approach for modeling of Pb(II) adsorption from aqueous solution by Antep pistachio (Pistacia Vera L.) shells

(2007) K YETILMEZSOY et al.   JOURNAL OF HAZARDOUS MATERIALS