Sentence examples for best set of parameters from inspiring English sources

Exact(36)

The results revealed the existence of distinct minima, representing the best set of parameters which optimized the overall treatment costs.

Using the best set of parameters identified with the GMRQ analysis, we obtained multiple transition probability matrices (TPMs) in order to construct the implied time-scales plot (see Methods).

Finally, the best set of parameters are used to further validate the proposed method by using data obtained from the actual output of a grid-connected PV system.

A factorial central composite design (CCD) was used to optimize the search for the best set of parameters, having the determination coefficient as optimization criteria.

The objective of the study is to determine the best set of parameters for neural networks that are designed to perform automatic new topic identification.

No systematic approach to establish the best set of parameters for GA was found in literature and a relatively easy to use and meaningful approach is proposed.

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Similar(24)

This is to determine the best set of parameter values for the CS-LF algorithm to solve the UFLP.

Moreover, parameter setting 1 was concluded as the best set of parameter values for the algorithm to solve the problem with the value of the parameter (n) = 5, and the value of the parameter (P a) = 0.0.

We conducted simulations of this model, using the best set of parameter values previously obtained for the BM equations, and varying the parameters of the spleen populations, in order to obtain the best fit to published experimental data on these subpopulations in mice (section on data for model fitting and ref. [28]).

As regards the fit of the best sets of parameters to the observed HZ data, as shown in Figure 1 and 2, the fit is very poor for the younger age groups, even for the two best parameter sets (9 and 13), as it is duly noted by the authors.

In different papers the performance comparison of the proposed methods to earlier approaches is mainly done with some well-known texture datasets, with differing classifiers and testing protocols, and often not using the best sets of parameter values and multiple scales for the comparative methods.

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