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Sensitivity analysis is used to determine the influence of input variables on the dependent variable.
The analysis of variance is employed to investigate the influence of input variables on the tensile modulus and tensile strength.
A global sensitivity analysis is carried out to address the influence of input random parameters on output natural frequencies.
Statistical significance analysis of influence of input factors on observed responses is performed by response surface method (Box-Behnken design).
Dexterity and other similar performance indices have often been used to evaluate indirectly the influence of input errors.
Furthermore, we quantify the influence of input price changes on the price effect (PE) using panel data regression.
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The individual and the combined influence of inputs on properties of medium carbon steels is simulated using the model.
Variance based sensitivity analysis (Sobol's method) was used to quantify the influence of inputs on the final powder moisture as the model output.
As an effective method that can provide the information about the influence of inputs on the variation of output, variance based sensitivity analysis is widely used to determine the structure of neural networks.
In this study, experimental and numerical results concerning the statistical characterisation and the influence of inputs variability on the main steps of composites manufacturing including process-induced defects are presented and analysed.
In memory, optimal levels of ACh may facilitate encoding by increasing the influence of inputs into the hippocampus through enhanced potentiation [ 9, 14], and/or by providing the attentional "glue" to bind together disparate elements of an episode into a unified memory trace [ 15, 16].
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