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The fuzzy-based regulations are determined and optimized in the control process concerning the method proposed.
Namely, for a PID type of control, three parameters have to be determined and optimized.
The effective parameters for these two methods were determined and optimized using Taguchi design method.
Using the Taguchi design method, the effective parameters were determined and optimized for CeO2 nanoparticle synthesis.
Design parameters for each optic were determined and optimized by ray tracing in considering X-ray intensity and reflectivity.
The influence of independent variables on the removal efficiency was determined and optimized by response surface methodology using the Box Behnken surface statistical design.
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This phase is our concern to determine and optimize the flushwater flow.
A method to determine and optimize these parameters is presented in this paper.
In this article, we propose a new more empirical approach for determining and optimizing the above bound.
Variable growth and induction conditions were conducted to determine and optimize protein expression.
For the problem of determining and optimizing the parameters of fuzzy sliding mode controller (FSMC), genetic algorithm (GA) is used.
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