Sentence examples for data to the parameters from inspiring English sources

In these terms, the inadequacy of relating Ni diffusion data to the parameters of LRO kinetics in Ni3Al is indicated.

Most of the existing non-linear formulas for describing alluvial channel flows are based on dimensional analysis and statistical fitting of data to the parameters considered in the functional relationships implicitly, which are partially valid.

Principal features of the tool are: automatic generation of generalized mass action model from the chemical reactions involved in the system; automatic estimation of the initial guesses and bounds for the parameter values; estimate of the propagation of the experimental errors from the input data to the parameter estimates; estimation of the level of noise in the input data.

We considered first the whole data to compute the parameters of the algorithm: the target EWMA 0), the standard deviation S0, and thus the upper bound UCL.

We use only the training data to estimate the parameters of the linear model and the population mean and standard deviation that are subsequently used to adjust and standardize all data samples, unless explicitly stated in the text.

Parameter estimation was performed for the proposed model using published experimental data to adjust the parameters in the liquid split algorithm for the considered offshore conditions.

We employed cross-validation on the H3N2 data to select the parameters used by the SVM classifier.

Therefore, established approaches aim to scan the entire parameter subspace which is in a sufficient agreement with the experimental data to propagate the parameters confidence regions into confidence intervals for the model predictions.

Here we use cross-validation technique on the training data to determine the parameters C 1 and C 2. The training data is partitioned into four groups.

In contrast, in the present work we use non-epidemic data to infer the parameters of the probability density function of non-epidemic periods.

Each time we use five years of data to estimate the parameters of the model and use them to predict the other year.