Sentence examples for uncertainty of output from inspiring English sources

The methodology developed in this work considers the uncertainty of sensitivities and uncertainty of output variables due to a single-input-variable variation.

Generally, the effluent concentration and the ecotoxicity effect factor were the model input variables with the most significant effect on the uncertainty of output results.

Sensitivity indices are used to rank the importance of input design variables or components by estimating the degree of uncertainty of output variable influenced by the uncertainty generated from input variables or components.

Although ANN was mentioned in some literature related to probabilistic load forecasting [7, 18], it was simply treated as model generating point forecasts, yet the uncertainty of outputs which can be described by the model itself was ignored.

Monte Carlo simulation uses random sampling from distributions of parameters to characterize the effects of uncertainty on output variables, such as incidence of premature mortality.

The former method is limited to weakly nonlinear systems while the latter does not provide any analytical expression that links the uncertainties of input to uncertainties of output quantities.

This is calculated by subtracting the entropy (uncertainty) on the state of the output (or input) from the entropy (uncertainty) of the output (or input) when we know the input (or output).

Moreover, the distributed processing mode makes better adaptability to deal with the uncertainty of DER output than the centralized mode.

Three approaches to calculate the uncertainty of the output parameter, i.e., the space conditioning load, are proposed.

Such distribution is characterized by a high variance, or values highly dispersed, whereby the degree of uncertainty of the output in this case is of some importance.

Furthermore, in the case of Peclet and modified Sherwood numbers, the sensitivity and the uncertainty of the output are function of the final moisture content.