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Exact(6)

SA techniques are not only useful in identifying those parameters but also quantify the variability of the effect these input parameters may have on different model output variables.

The PEAQ algorithm aims at simulating human perceptual properties and integrates multiple model output variables into a single metric.

However, as mentioned in [17], the conventional IM model output variables, like the "slip" in a certain bus, lack physical significance in a power system.

Fire risk management requires precise knowledge of the likely consequences of climate on fire risk, and the interest for decision-makers is focused on multi-variable fire danger indices, calculated through the combination of different model output variables.

The output combines a number of model output variables (MOVs) into a single measure, the objective difference grade (ODG) score, which is an impairment scale with meanings shown in Table 2. PEAQ evaluations are performed on challenging audio recordings sampled at  kHz.

The expression for weighted average was applied to the model output variables to confirm the validity of Equations 1 and 2 as above.

Similar(54)

The same clusters were also used for the classical metamodelling, since the X -factors in the inverse metamodelling are more directly related to the model output state variables than the Y -factors from the classical metamodelling (a PLSR model is asymmetric).

Given this variety of model targets and output variables, the design of EMIC model intercomparison projects can be more difficult than that of GCMs/ESMs, in terms of what can or should be compared.

The differences in group averages seemed generally to be higher in models with less output variables and models using constant returns to scale.

Y t) stands for the model's output variable showing the energy consumption of residential and commercial sectors by one mega ton of crude oil equivalent.

The second layer is designed for data preprocessing by using intelligent variable ranking to select the most effective agents (select the most important input variables to model an output variable).

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