Sentence examples for an accuracy equivalent from inspiring English sources

Physicists can predict the characteristics of a single subatomic particle with an accuracy equivalent to, as Richard Feynman liked to say, estimating the distance between New York and Los Angeles within the width of a human hair.

This three-dimensional model has an accuracy equivalent to a 3D boundary-element model, and a runtime similar to a 2D plane-strain analytical model.

A t-test has shown that the FT-NIR model has an accuracy equivalent to that of the reference method (ASTM D4052) in the analysis of ethanol fuel, while in the analysis of beverages, the FT-Raman model presents an accuracy equivalent to the reference method.

Compared to the conventional staggered-grid FD method, a short staggered-grid CD operator achieves an accuracy equivalent to that of a long FD operator, with lower computational costs.

Given consistent concentration-dependent behavior, it should be possible to project target concentration from intensity with an accuracy equivalent to or better than sequence-specific models on any of these platforms, based on a spike-in calibration mixture containing only a few probes.

In local validation studies it had been shown to have an accuracy equivalent to that of the commercial GACELISA.

For linear hybrid natural products, the addition of one hexose or deoxysugar had an effect on accuracy equivalent to substituting 1.16 monomers, while changing the site of glycosylation was equivalent to substituting 1.17 monomers.

For the same 15 complexes previously used, the Sparkle/PM3 unsigned mean error, for all interatomic distances between the Tm III) ion and the directly coordinating oxygen or nitrogen atoms, is 0.08 Å, a level of accuracy equivalent to the Sparkle/AM1 figure of 0.07 Å, as well as to results from present day ab initio effective core potential calculations.

The 16,207 and 16,961 SNPs included in G S and G D, respectively, were sufficient to allow for a genomic prediction accuracy equivalent to that provided by G W (the GRM built with the whole set of 71,726 SNPs).

The iterative process then finishes when the attributes are being removed one at a time and either the removal of all attributes left in the dataset had been tested or five iterations in a row resulted in a drop in the percentage classification accuracy equivalent to more than one sample.

The analysis shows that for a forest stand of 25 50 ha, accuracy (equivalent to the RMSE) compared to that of a plot (0.04 ha) improves from 3.3 to 2.0 m3 ha−1 year−1 for the 300 Index and from 2.0 to 1.6 m for the Site Index.