Sentence examples for multiple input variables from inspiring English sources

These shortcomings can potentially be overcome through machine learning algorithms, which can receive multiple input variables describing different features to produce a single metric, such as a probability value, relevant to image classification.

Therefore, factor analysis is quite often used on multivariate data for dimension reduction or to condense multiple input variables to several orthogonal and meaningful factors (Hair et al. 1998).

They measure a combination of the first-order sensitivity of an input parameter and the higher-order sensitivities which quantify synergetic effects between multiple input variables (Homma and Saltelli 1996).

In manufacturing industries, the quality of a product depends on the combined effect of multiple input variables working singly or together and therefore attention has been given on process capability indices to shift from single to multivariate domain.

Further, the correlation analysis found significant relationships between soil erosion and multiple input variables, including rainfall amount and intensity, vegetation coverage, growth rates of herbs and bushes, above-ground biomass, and soil hydraulic conductivity.

The second one is to develop a metamodel to predict the loads as a function of multiple input variables; a method that can also characterize the probabilistic load distribution by running a Monte Carlo simulation.

On the first line of a UDF is a function declaration with input and output variables, as follows: Multiple input and output variables can be declared with commas, the same way as in MATLAB.

One advantage point of DDF is that productive inefficiency can be evaluated using multiple input and output variables.

For that purpose, the authors propose a cross-layer fuzzy-logic scheduling algorithm to deal with multiple cross-layer input variables of diverse nature in an independent manner.

The ordinal structure model of fuzzy reasoning has an advantage of managing high-dimensional problem with multiple input and output variables ensuring the interpretability of the rule set.

This association measure can be extended to multiple blocks of input variables.