Sentence examples for samples for network from inspiring English sources

The Orthotropic Experiment Method (OEM) is used to select the most appropriate design samples for network training.

Starting from the same seed genes, we randomly selected and used 80% of the samples for network expansion.

Software and published work based on random permutation methods, including network-based research, typically define between 1 K and 10 K random samples for networks of similar or larger size [ 17, 19].

One sample (GSM825502) that failed more than one test of arrayQualityMetrics was removed and a total of 230 samples remained for network construction (Table S1).

The samples for vector network analyzer were pressed to be toroidal samples with OD 7 mm, ID 3.04 mm, and height at 3 mm according to the mass ration 1 1 of paraffin and R-GO/SF/PANI nanocomposites.

Therefore, the number of samples for all networks from the same type was fixed based on each cancer group.

The first 600 samples were employed for network training, the next 100 samples for the determination of the optimal weighted factor ω, and the last 100 samples for determination of the threshold of fault detection.

OTUs occurred in more than half of samples were used for network analysis.

To minimize noise and facilitate interpretation of results, genes showing significant expression changes across samples were selected for network generation.

From a fixed set of 500 samples for the Child network, we selected subsets of 125 samples; we used TL-BSLA to learn networks for 100 such resampled sets, with each set having no more than 30%% similarity to any of the others.

Some additional steps, e.g., using fuzzy technique to apply historical information of cloud cover to sample data sets for network training and the forecasted cloud cover in weather program to network input for the irradiation forecasting, are adopted to help enhancing forecast precision.