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With problems of this type, it is important to understand the relationships between the input variables (whose values are often imprecisely known) and the output.
The adequate relation was found between the input variables and response (removal percentage of RhB) and Fisher values (F- values) along with P-values suggesting the significance of various term coefficients.
The paper presents a probabilistic methodology considering the correlations between the input variables for the failure probability evaluation of corroding pipelines based on the corrosion module of the FITNET FFS procedure.
The relationship between the input variables in the model (i.e. meteorological data and catchment initial conditions) and its overall structure can be explained in terms of catchment hydrological processes.
The objective of the present study is finding the relationships between the input variables and the process responses as well as making the predictive model used in the design of TiC coating on Ti substrate.
Furthermore, the generalization capacity along with the sensitivity analysis allowed the identification of high-weight variables in the model, as well as the partial interpretation of the statistical functional relationships between the input variables and the abundance.
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The sigmoid function is defined as any function that is bounded and has a direct relation between the input variable and the output variable (Smith 1993).
Finally, Figure 2 shows the relationship between each of the input variables to net savings.
The algorithm works as follows: 1. Test the global null hypothesis of independence between any of the input variables and the response (presence or absence of a motif).
The key characteristic of HyperCube is that it uses non-parametric modelling without any metric and without making any assumption on the distribution of variables or the relationship between the outcome and the input variables.
The proposed procedure can be useful for the rapid solution of the optimization problems in which there exist dependencies between/among the input variables.
More suggestions(12)
between the input factors
between the factor variables
between the input data
between the input bodies
between the control variables
between the state variables
between the study variables
between the exposure variables
between the predictor variables
between the input sequences
between the process variables
between the response variables
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