Modeling and optimization of fe(III) adsorption from water using bentonite clay: Comparison of central composite design and artificial neural network

Chemical Engineering and Technology

Volumn 35, Issue 11, 2012, Pages 2007-2014

  Savic, I M ^a,a   Stojiljkovic, S T ^a   Stojanovic, S B ^a   Moder, K ^b  

^a UNIVERSITY OF NI   (Serbia)

^b UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

Author keywords

Artificial neural network; Central composite design; Fe(III) adsorption; Multilayer perceptron

Indexed keywords

ACTIVATION FUNCTIONS; BENTONITE CLAY; CENTRAL COMPOSITE DESIGNS; CONTACT TIME; CORRELATION COEFFICIENT; HIDDEN LAYERS; INITIAL CONCENTRATION; INPUT VARIABLES; LINEAR FUNCTIONS; MEAN ABSOLUTE ERROR; MODELING AND OPTIMIZATION; MULTI LAYER PERCEPTRON; OUTPUT LAYER; OUTPUT VARIABLES; RESPONSE SURFACE METHODOLOGY; ROOT MEAN SQUARE ERRORS; SECOND-ORDER POLYNOMIAL;

ADSORPTION; BENTONITE; DESIGN; MEAN SQUARE ERROR; NEURAL NETWORKS; OPTIMIZATION;

IRON COMPOUNDS;

EID: 84868087381     PISSN: 09307516     EISSN: 15214125     Source Type: Journal    
DOI: 10.1002/ceat.201200085     Document Type: Article

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