Sentence examples for tuning the model from inspiring English sources

The guidelines for tuning the model parameters are also presented.

In this work, we have used experimental specifications as a guide for finding and tuning the model.

Despite the above weaknesses, tuning the model parameters enabled a good approximation of the measured normal stress versus fracture closure curves in (Brown and Scholz 1986; Gangi 1978).

Path loss measurements on the different investigated building floors are used either for tuning the model parameters or for validation purposes (see Table 1, column 'goal'goal

His team found that by tuning the model so that the pebble formation process takes a bit longer, there is more time for the large planetary embryos to interact with each other gravitationally.

Neglecting inactive turbulence (approach "A" and "B" in this paper) often gives unsatisfactory results, but accounting for inactive turbulence by tuning the model to the approach flow properties (approach "C") gives only partial improvement for isolated obstacle flows.

A) Future combinatorial drug discovery approaches will benefit from tighter integration of gene signatures and phenotypic screen data with computational models, tuning the models to specific cancer cell-lines.

The user-friendly GUI version allows the user to monitor transcription of all genes along a trajectory of modeling and to easily tune the model parameters.

For instance, Professor Dailey wrote: "Bounded rationality is not a refutation of the rational actor model; to the contrary, it attempts to fine-tune the model to take account of predictable cognitive limitations and biases.

Also by re-tuning the model parameters the model predictions did not fit the experimental results which points to a structural inadequacy of the conventional deterministic growth models in describing the experimentally observed broadening phenomenon.

Reasonable agreement of the model is usually judged in terms of the differences in the observed and predicted pressures or heads at the test nodes (e.g., Cesario and Davis 1984; Eggener and Polkowski 1976; Rahal et al. 1980; Walski 1983b), and depends on the accuracy of the data set and the effort and cost the model user is prepared to spend in fine-tuning the model.