A modeling study by response surface methodology (RSM) and artificial neural network (ANN) on Cu2+ adsorption optimization using light expended clay aggregate (LECA)

Journal of Industrial and Engineering Chemistry

Volumn 20, Issue 3, 2014, Pages 870-880

  Shojaeimehr, Tahereh ^a   Rahimpour, Farshad ^a   Khadivi, Mohammad Ali ^a   Sadeghi, Marzieh ^a  

^a RAZI UNIVERSITY   (Iran)

Author keywords

Artificial neural network (ANN); Copper adsorption; LECA; Response surface methodology (RSM)

Indexed keywords

ADSORPTION; ISOTHERMS; NEURAL NETWORKS; RANDOM PROCESSES; SURFACE PROPERTIES;

COPPER ADSORPTION; CORRELATION COEFFICIENT; INTRA-PARTICLE DIFFUSION; LANGMUIR AND FREUNDLICH ISOTHERM MODELS; LECA; OPERATIONAL PARAMETERS; PSEUDO SECOND ORDER KINETICS; RESPONSE SURFACE METHODOLOGY;

COPPER;

EID: 84896394149     PISSN: 1226086X     EISSN: 22345957     Source Type: Journal    
DOI: 10.1016/j.jiec.2013.06.017     Document Type: Article

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