Sentence examples for model parameters especially from inspiring English sources

Due to the inherent uncertainties in combustion kinetic model parameters, especially the rate coefficients of elementary reactions, the uncertainties of model predictions can be quite large.

Additionally, It can be used in image or text classification applications, where the large number of features and classes naturally increase the number of model parameters, especially for models such as deep neural networks.

A limitation of these methods is their assumption of complete knowledge of the model parameters, especially the statistical parameters of the NLOS errors, which is not realistic in many practical situations because of the unpredictable characteristics of the wireless channels in harsh environments.

In the case of SSR, on the other hand, the amplitudes of non-diagonal elements of AKM are larger (Fig. 15), and the retrieved c w is more affected by the retrieval error of dust model parameters (especially z s ), which is consistent with the results of the present sensitivity analysis (Fig. 12).

Finally, current research papers usually do not check for validity of model parameters, especially cargo quantity and freight, cargo handling rate and charges, and ship speed and fuel consumption (sensitivity and what-if analysis, which are usually used to check such validity, do not appear in any of these research papers).

In addition, a set of simulations demonstrates the ability of the model to quantify the presence of damage, just another type of microstructure, through fitting of the model parameters, especially the one associated with the characteristic length scale of the underlying microstructure, to an explicit geometric representation of voids in different damage states.

WinBUGS code for implementing the model is given in Additional file 2. The presence of confounding was investigated by analysing the correlation matrix of the joint posterior distribution for all model parameters but especially the slope parameters.

In the current study, we compare several systematic and random methods for calibration plot selection, with the specific aim that they be used in LiDAR based regression models for forest parameters, especially above-ground biomass.

Therefore, to properly reproduce the fire behavior, numerical models require several input parameters, especially for thermophysical and kinetic properties.

With regard to the small increase in the number of loci in our Yoruban dataset, recent power analyses by Adams and Hudson [28] suggest that orders of magnitude more data may be necessary to obtain growth model parameters with substantially greater accuracy, especially in models involving recent growth.

In addition, the constants in the model were determined by the process parameters, especially grinding speed and the vibration frequency of the grinding wheel.