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Response surface methodology was used for modeling and optimization of the reaction conditions catalyzed by immobilized YLL2.
The application of the response surface methodology and the central composite design (CCD) technique for modeling and optimization of the influence of some operating variables on copper, molybdenum and rhenium recoveries in a bioleaching process was investigated.
In this study, the artificial neural network (ANN) and response surface methodology (RS M based on central composite design (CCD) were applied for modeling and optimization of the simultaneous ultrasound-assisted removal of quinoline yellow (QY) and eosin B (EB).
Central composite design (CCD) and response surface methodology (RS M were developed as experimental strategies for modeling and optimization of the influence of some variables on the performance of a new PVC membrane triiodide ion-selective electrode.
Also, it is recommended to use other mixture designs of experiment like simplex lattice or augmented simplex lattice for modeling and optimization of the print properties.
In this study, RSM and ANN methods were applied for modeling and optimization of the biosorption process of Cu II) by MSTL.
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Concept of three-levels-six-factors Box-Behnken response surface design was applied for modeling and optimization of impact strength of the new impact-toughened mould material.
Due to the high-speed of computing, the standard black-oil model is still used in industry for modeling and optimization of hydrocarbon processes.
Response surface methodology in combination was used for modeling and optimization of Ponceau 4R (AR18) degradation in a batch photoreactor.
A central compositional orthogonal design has been applied for modeling and optimization of sweeping gas membrane distillation process.
The GP-GA based strategy introduced here can be gainfully utilized for modeling and optimization of similar type of contaminant-removal processes.
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