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Information Seminar Paper

Title

TREATMENT OF PHARMACEUTICAL WASTEWATER CONTAINING FLUOXETINE BY OZONE/H2O2 PROCESS: MODELING OF EXPERIMENTAL RESULTS BY ARTIFICIAL NEURAL NETWORKS

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Abstract

 THIS ARTICLE EXAMINES THE TREATMENT OF PHARMACEUTICAL WASTEWATER CONTAINING FLUOXETINE BY OZONE/H2O2 PROCESS. REACTION TIME, OZONE CONCENTRATION, INITIAL CONCENTRATIONS OF FLUOXETINE AND HYDROGEN PEROXIDE ARE INDEPENDENT VARIABLES. THE REMOVAL EFFICIENCY OF FLUOXETINE (%R) AS DEPENDENT VARIABLE IS CHOSEN FOR ARTIFICIAL NEURAL NETWORK (ANN) MODELING OF OUR EXPERIMENTAL RESULTS. ANN MODEL WAS DEVELOPED BY A FEED-FORWARD BACK PROPAGATION NETWORK WITH TOPOLOGY (4: 8: 1). RESULTS INDICATES THE SUPERIORITY OF ANN IN CAPTURING THE NONLINEAR BEHAVIOUR OF THE SYSTEM AND ACCURATE ESTIMATION OF FLUOXETINE REMOVAL. THE RESULTS ALSO SHOWS THAT THE REACTION TIME WITH A RELATIVE IMPORTANCE OF 42.53% APPEARS TO BE THE MOST INFLUENTIAL PARAMETER IN THE OZONE/H2O2 PROCESS.

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