Modeling adsorption of sodium dodecyl benzene sulfonate (SDBS) onto polyaniline (PANI) by using multi linear regression and artificial neural networks

Chemical Engineering Journal

Volumn 178, Issue , 2011, Pages 183-190

  Özdemir, Utkan ^a   Özbay, Bilge ^a   Veli, Sevil ^a   Zor, Sibel ^a  

^a KOCAELI UNIVERSITY   (Turkey)

Author keywords

Adsorption; ANN; MLR; PANI; SDBS

Indexed keywords

ADSORBENTS; BENZENE; DEEP NEURAL NETWORKS; EFFICIENCY; NEURAL NETWORKS; POLYANILINE; REGRESSION ANALYSIS; SODIUM; SOLUTIONS;

DETERMINATION COEFFICIENTS; EQUILIBRIUM ADSORPTION CAPACITY; MULTI-LINEAR REGRESSION; PANI; REMOVAL EFFICIENCIES; SDBS; SODIUM DODECYLBENZENE SULFONATE; THERMODYNAMIC PARAMETER;

ADSORPTION;

EID: 84857690914     PISSN: 13858947     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cej.2011.10.046     Document Type: Article

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