RSM and ANN modeling for electrocoagulation of copper from simulated wastewater: Multi objective optimization using genetic algorithm approach

Desalination

Volumn 274, Issue 1-3, 2011, Pages 74-80

  Bhatti, Manpreet S ^a   Kapoor, Dhriti ^a   Kalia, Rajeev K ^b   Reddy, Akepati S ^c   Thukral, Ashwani K ^a  

^a GURU NANAK DEV UNIVERSITY   (India)

^b GGS Super Thermal Plant ^*  (India)

^c THAPAR UNIVERSITY   (India)

Author keywords

ANN GA; Artificial neural network; Center composite design; Multi objective optimization; Pareto front; Response surface methodology

Indexed keywords

ANN-GA; ARTIFICIAL NEURAL NETWORK; CENTER COMPOSITE DESIGN; MULTI OBJECTIVE; PARETO FRONT; RESPONSE SURFACE METHODOLOGY;

CHEMICALS REMOVAL (WATER TREATMENT); COAGULATION; COPPER; DESIGN; ENERGY UTILIZATION; GENETIC ALGORITHMS; MULTIOBJECTIVE OPTIMIZATION; SURFACE PROPERTIES; WASTEWATER;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; COAGULATION; COPPER; ELECTROCHEMISTRY; MULTIOBJECTIVE PROGRAMMING; NUMERICAL MODEL; OPTIMIZATION; WATER TREATMENT;

EID: 79955484718     PISSN: 00119164     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.desal.2011.01.083     Document Type: Article

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