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Model desirability approaching unity and with low error value portrays the applicability of the model towards the responses.
Table 6 Model validation for LPAC prepared for MG dye removal Activated carbon Model desirability Activation temperature, x 1 °CC) Activation time, x 2 (h) IR, x 3 MG dye removal LPAC yield Predicted Experimental Error Predicted Experimental Error LPAC 0.896 796 1.0 2.6 95.02 94.68 0.40 18.51 17.88 3.40.
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Moreover, the BPNN-PSO approach was more efficient in optimization of process rather than mathematical model-desirability function in respect with validation tests.
First approach was based on mathematical model and desirability function.
The experiments were designed using central composite rotatable design (CCRD) of second order, according to the mathematical model of desirability functions.
A Box Behnken design was used to develop response model and desirability function was then used for simultaneous optimization of all affecting parameters in order to achieve the highest removal% of quinalphos.
Regression models and desirability functions were applied to find the experimental conditions providing the highest global extraction yield.
In particular, regression models and desirability functions were applied to find the experimental conditions providing the highest global extraction response.
For instructors, modeling the desirability and usefulness of feedback for informing adjustments on the go helps students to see the value of such information.
Regression models and desirability functions (DF) were applied to find the best experimental conditions for providing the maximum extraction recovery (ER).
In order to improve the multielemental analysis speed, although a sequential instrument allows the use of a separate parameter set for each wavelength, regression models and desirability functions were applied to find the experimental conditions providing the highest global sensitivity.
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