Sentence examples for model simplification for from inspiring English sources

Specific examples of model simplification for individual analyses are given in Appendix 3 and Figure 8 source data 1.

Such an approach has also been suggested as a method for model simplification for pandemic influenza [ 31].

This also implies that if one applies model simplification to increase the confidence in 'important' estimates, there actually is not much to be gained from model simplification for large datasets.

Model simplification of the starting GLMM for relative position of recaptured salmon parr revealed a significant effect of release group (χ = 18.4; P < 0.001; Fig.  2), but no effect of released fish number (χ = 0.03; P = 0.9) or initial body size (χ = 0.75; P = 0.4).

By resorting to this scheme, a set of advanced methodologies for multiscale modeling, model simplification, and multiscale controller synthesis can be seamlessly integrated to construct a high-performance control system.

It is the main goal of the presented work to derive a model simplification procedure for signal transduction pathways such that: (1) the model size is significantly reduced such that the model can be validated using available experimental data, and (2) the physical interpretation of the remaining states and parameters is retained.

However, creating and identification the simplified physics model are often challenging, which requires expert knowledge for model simplification and significant engineering efforts for model training.

The results show the usefulness of the method for model simplification purposes as well as for analyzing fundamental biochemical mechanisms.

The study showed the potential of the identifiability analysis for selecting the most relevant parameters in the model, thus allowing for model simplification, and in assessing the impact of data sources for model reliability, thus guiding the analyst in the design of future monitoring campaigns.

We presented a work flow for model simplification and demonstrated its use by simplifying an overly detailed model for JAK-STAT signal transduction.

OptFlux also contemplates several methods for model simplification and other pre-processing operations aimed at reducing the search space for optimization algorithms.