Modeling and optimization of antidepressant drug Fluoxetine removal in aqueous media by ozone/H2O2 process: Comparison of central composite design and artificial neural network approaches

Journal of the Taiwan Institute of Chemical Engineers

Volumn 48, Issue , 2015, Pages 40-48

  Aghaeinejad Meybodi, A ^a   Ebadi, A ^a   Shafiei, S ^a   Khataee, A R ^b   Rostampour, M ^a  

^a SAHAND UNIVERSITY OF TECHNOLOGY   (Iran)

^b UNIVERSITY OF TABRIZ   (Iran)

Author keywords

Artificial neural network; Central composite design; Fluoxetine; Modeling and optimization; Ozonation

Indexed keywords

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; DESIGN; EFFICIENCY; NEURAL NETWORKS; OZONIZATION; TOPOLOGY;

ARTIFICIAL NEURAL NETWORK APPROACH; CENTRAL COMPOSITE DESIGNS; FEED-FORWARD BACK PROPAGATION NETWORKS; FLUOXETINE; INITIAL CONCENTRATION; MODELING AND OPTIMIZATION; OPERATIONAL PARAMETERS; REMOVAL EFFICIENCIES;

OZONE;

EID: 84924301089     PISSN: 18761070     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jtice.2014.10.022     Document Type: Article

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