Sentence examples for prediction of the value of from inspiring English sources

Finally, the developed expression gives a good prediction of the value of Sherwood number in various systems, such as packed beds of spheres, cylinders, plates and metallic foam for linear and non-linear laminar flow and in smooth tubes for turbulent flow conditions.

In this analogy, each single GPR gives a prediction of the value of each individual predictor, and a multivariate linear regression combines these outputs into a new output vector.

Therefore, for the evaluation of temperature distributions and thermal behaviors in the current state of concrete structures, an accurate prediction of the value of the TCC that can account for all these characteristics of the concrete is essential but very complex.

The reduced modulus E r (Papia et al. 1988) can be further expressed as follows: Open image in new window Fig. 18 Prediction of the value of α corresponding to t 1 / L 1 (Badalamenti et al. 2010) E r E s = 2.13 E h E s 0.88 - 4.11 E h E s 2 (5)whEre E h the hardening modulus of steel angles and strips is, E s is the modulus of elasticity of steel.

The QUALEFFO-41 had a better prediction of the value of HRQOL of cases compared to the generic questionnaire EQ-5D (the AUC difference was 0.099, p = 0.013).

We wanted to check if a model taking into account motif multiplicity would allow a more precise prediction of the value of expression.

The kriging approach consists of two steps: (i) estimation of the unknown parameters and hidden variables (in particular by ML or REML) and (ii) prediction of the values of the regionalized variables by performing a BLUP, under the auxiliary assumption that the parameter values and hidden variables estimated in the first step are the true ones.

Even though it has turned out to be useful for prediction, much of the value of the model lies in the company's improved understanding of the market environment.

We therefore assume that also at the subnational level the models will provide good predictions of the values of these indicators.

Moreover, the predictions of the values of all the properties of a test set of the remaining 30% of dataset were specially accurate with a strong correlation of R2 ∼ 0.9.

In Section 2, we motivate our approach, exploiting the intimate link that should exist between the precision of predictions of the values of the field from a given dataset and the accuracy of the estimates of the process parameters based on the same observations.