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Then, the relative significance of input parameters to the developed approaches is quantified by a density-based global sensitivity analysis (GSA).
An artificial neural network (ANN) model and Box-Behnken design (BBD) were developed and applied to study the relative effect and significance of input variables affecting boron sorption.
Figure 7 "Leave-One-Out" analysis to estimate the significance of input vector components: The root mean square error (RMSE) rises with an increasing number of discarded components (i.e. a decreasing number of input vector components used for the machine filearning procedure).
Sensitivity analyses were also performed to identify the significance of input parameters and calculated rank correlation coefficients between the input and output values of Monte Carlo simulations.
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Meanwhile, Fukuyama proposed another measurement method (procedures, inputs, outputs, and bureaucratic autonomy) and particularly stresses the significance of inputs (such as capacities, professionalism) and bureaucratic autonomy.
A more accurate predictor should take into account the relative biological significance of inputs and outputs in terms of fitness effects, which is, however, very difficult to evaluate.
ANOVA is applied to determine significance of the input parameters for optimising the Grey relation grade.
Although the evolutionary significance of this input is appreciated, its precise neurophysiological architecture remains unknown.
Additionally, reliability-based sensitivity indices are derived to investigate the parametric significance of random input variables.
The package also implements tests to assess the significance of the input table's total inertia and individual dimensions.
The Leave-One-Out Attribute Selection worker uses a "Leave-One-Out" strategy for evaluating the significance of each input vector component [28].
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