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It was found that ANN model is much more accurate in prediction as compared to RSM even the small numbers of experiments.
SAM is most effective for small numbers of experiments and is the most popular method employed for microarray analysis.
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This will be done only using a small number of experiments.
RSM offers a large amount of information from a small number of experiments and reduces time [10, 33].
RCCD enables several independent variables to be investigated at the same time using a relatively small number of experiments.
This method can rapidly and economically estimate the effect of each processing parameter by a small number of experiments.
Results indicate that both methods are capable of locating optimum conditions, with a relatively small number of experiments.
This fact causes problems in realizing WUSN experiments and it is one of the main reasons for the small number of experiments in this area.
The method is based on dimensionless groups and intrinsic adsorption and diffusion parameters, which are estimated using a small number of experiments and simulations.
The factorial design proved to be a viable approach for obtaining the optimal reaction conditions based on a relatively small number of experiments.
This approach facilitates the study of interaction of a large number of variables spanned by factors and their settings with a small number of experiments leading to considerable saving in time and cost for the process optimization.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com