Sentence examples for noise size from inspiring English sources

The results of our study indicate that additive noise, size, and data distribution characteristics play an important role in learning, reliability and predictive ability of ANNs.

For each row of this table, we calculated for each patient the signal size (expressed as a variance) and the noise size (expressed as a variance), and displayed the average values across all patients.

For each combination of signal and noise size, we quantified the observed scatter of optimization as the standard deviation of difference between the optima obtained on two successive optimizations of the same patient.

We calculated the size of the confidence interval of the observed optimum for a range of possible signal and noise size combinations (and therefore information content) as shown in Table  2.> -wrap-foot> For simplicity, the confidence intervals are shown centred on the "true" value.

This is particularly apparent in the principal component analysis: the analysis did not discriminate any subgroup of strains with particularly high noise levels, and the first component obtained was made up of two traits with high noise (size of bud and of its nucleus) and one trait with low noise (cell size at G1).

By simulated dataset 3 (SD3), the impacts of different noise sizes are evaluated.

We tested signal and noise sizes over a wide range, but for clarity in this paper we have presented a limited number of values, ensuring that the full spectrum of relative sizes of signal magnitude and noise variance is encompassed.

According to our experience, we hypothesize that the following factors that may affect integrative analyses: i) scales of measurements in different datasets; ii) noise types of different datasets; iii) noise sizes; iv) completeness of patient relationships that is revealed by single datasets; v) concordance of patient relationships revealed by each dataset.

In summary, the performance of direct concatenation seems to be resistant to the incompleteness of patient relationships of individual data types, but it can be heavily affected by the discrepancy of scales, noise types, noise sizes, and the conflicts of the patient relationships.

To improve the pressure attenuation performance of noise barriers, size and shape optimization have been applied, and ATO methods have been proposed that allow concurrent size, shape, and topological changes of rigid walls and cavities.

Speaking in terms of eum and yang (Korean for yin and yang), he saw those qualities as the eum to balance Manhattan's yang of noise and size.