Chemistry Journal of Moldova

NEURAL MODELING AND OPTIMIZATION OF A MECHANICAL-CHEMICAL TREATMENT APPLIED FOR SOME INDUSTRIAL EFFLUENTS. A ROUMANIAN CASE STUDY

Author(s):

Rodica Mariana Diaconescu, Carmen Zaharia


Field: Industrial chemistry
Type: Research paper
Issue: 2017 Volume 12, no.2
Pages: 19-27
Keywords:

artificial neural network (ANN), industrial wastewater treatment, multilayers perceptron model (MLP).


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DOI:
dx.doi.org/10.19261/cjm.2017.394   
 
Abstract (PDF)
Graphical Abstract:  The paper proposes an artificial neural network model of multilayers perceptron type (MLP3:10:1) adapted for mechanical-chemical treatment system of an industrial effluent (i.e. coagulation-flocculation - sedimentation applied for an industrial effluent produced in a manufacturing plant of bricks and other ceramics) which is further optimized and tested for its validation.

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