Chemistry Journal of Moldova: General, Industrial and Ecological Chemistry (Dec 2017)
Neural Modeling and Optimization of a Mechanical-chemical Treatment Applied for Some Industrial Effluents. A Roumanian Case Study
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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