Sentence examples for the reasonable selection from inspiring English sources

First, the segmentation accuracies of these window merging methods greatly depend on the reasonable selection of the initial window size.

The learning ability and generalizing performance of the support vector machine (SVM) mainly relies on the reasonable selection of super-parameters.

Furthermore, through the reasonable selection of validation observation and the weighted fusion strategy, the adverse influence caused by observation deviation consistency on filtering precision is improved.

Moreover, the result also suggests that λe and building energy consumption can be effectively reduced by the reasonable selection and optimized design of anchors application.

This comparative study will offer mechanical engineers a guideline for the reasonable selection of a technique of shearography for a particular test object.

Because the study sea area in the paper is characterized by the typical artificial coastline, the study results can be applicable in the reasonable selection and determination of sea ice design conditions in nearshore projects.

To the practicing control engineers who prefer to realize an effective NPID control, the proposed approach highlights the potential to make a reasonable selection of the nonlinear gain functions without requiring any additional process information.

The primary data analysis is therefore often centralized into core laboratories which face the challenge of using a reasonable selection out of the available software packages to process a growing flow of newly produced data.

Reasonable selection of the location of the measuring point; To determine that the test point is in the tensile fracture zone or compressive shear failure zone; Based on the AE counts, determine whether the partition is reasonable: This is mainly based on the number of the acoustic emission counts and the frequency of occurrence to determine the partition is reasonable.

In the absence of a model to enable reasonable selection of the algorithm's parameters, convergence of these algorithms might be compromised.

Furthermore, instead of using the random patches as the negative samples, we propose a reasonable selection criterion, in which both the saliency confidence and similarity are considered with the benefits that confusors in the surrounding background are incorporated into the classifiers update process before the drift occurs.