Sentence examples for simulation of artificial from inspiring English sources

The simulation of artificial neural networks on various high-performance computer architectures is discussed as an example application.

The results show clearly the weakness in the current response-spectrum-compatible criteria provided by seismic codes and the necessity of more robust conditions for the simulation of artificial earthquake ground motions.

Conclusion: Simulation of artificial ventilation with a software can be realistic and might be an interesting pedagogical tool to teach interactively and repetidly ventilatory settings and respiratory mechanics interactions in ARDS without any risk for the patient in our units.1.1

In computer science, simulations of evolution using evolutionary algorithms and artificial life started in the 1960s and were extended with simulation of artificial selection.

Our computer simulation of artificial 'Illumina' reads from the soil microbiome mentioned above indicated their ambiguous annotation of the short metagenomic reads at the genus level; the assignment accuracy was 34% for these reads.

The simulation of artificial 60-base 'Illumina' reads generated from the Sanger read data of a Minnesota soil microbiome revealed that identical assignments between the artificial Illumina data reads and their parental Sanger data reads at the phylum and KO levels were obtained with probabilities of 72 and 92%, respectively (Supplementary Table S10).

In the simulations of artificial manifolds, real low-light-level (LLL) and infrared image sets, the proposed method show remarkable performances in dimension reduction and classification.

In our simulations of artificial selection on a quantitative trait, individuals had three chromosomes, with lengths matching Drosophila chromosomes X, 2, and 3.

In summary, we have shown that it is feasible to do whole-genome simulations of artificial selection with explicit quantitative trait modeling.

The self-designed physical simulation equipments of artificial core plate models consist of four parts: injection and control system, artificial core plate model auxiliary system, pressure measurement and recording system, and production and measurement system.

In any case, the important point is to assess the robustness of the technique a posteriori on the actual data set, or a priori, e.g., by means of simulations on artificial data sets randomly generated from preliminary data [47].