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The optimization of the fitted model was made by a traditional optimization technique (i.e. Levenberg Marquard's) and the resulting optimal formulations were very close to the validation models with an error lesser than 3%.
With the modeling, optimal formulations were obtained depending on the four types of targets.
A bootstrap (BS) resampling method was used to estimate the confidence intervals of the optimal formulations.
Therefore, we hypothesized minimizing dissatisfaction and maximizing liking would yield different optimal formulations.
The optimal formulations recommended by the models were prepared and the critical quality attributes belonging to those formulations were assigned.
Optimal formulations allow designers to bring together concerns about guidance laws and autopilot responses under one unified framework.
Similar(28)
The response surface methodology and optimized polynomial equations were used to select the optimal formulation with desired responses.
The optimal formulation also delivered the desired pharmacological activity.
A series of characterization tests based on the optimal formulation were performed.
The optimal formulation was used at the preparation of oral lyophilisates.
It is shown that the optimal formulation is that acetone: dimethylformamide: ethylenediamine ratio equals to 3: 2: 5.
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