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The relative importance of the input variables were used to determine appropriate input combinations.
The relative importance of the input variables was also analysed using the Garson's equation.
With this purpose, an artificial neural network (ANN) was developed, and the relative importance of the input variables was evaluated.
For getting this conclusion, the relative importance of the input parameters with respect to the fuel consumption is going to bet using the analysis of variance (ANOVA).
The decomposition efficiency measures clearly highlight which sustainability indicator the country needs to focus based on the importance of the input criteria to achieve the desired outputs.
The method is based on computing for each input a number of incremental ratios, namely elementary effects, which are then averaged to assess the overall importance of the input.
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It aims at investigating the impact of variations in uncorrelated inputs on the variation of a model output and ranking the importance of the inputs.
The weighting of the signals is an inherent way the neurons tell the brain on the importance of the inputs and digitisation using threshold logic the neurons way to make low level decisions from it.
Analysis of variance (ANOVA) was used to determine the relative importance of all the input parameters which are incorporated in this modeling strategy to develop the connectionist tool for estimation of CO2 oil swelling factor.
This paper uses the relative importance method of the input variables, as given by the Garson equation (1991).
An importance ranking of the input parameters for Young's modulus and Poisson's ratio could then be obtained.
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