Sentence examples for model parameters particularly from inspiring English sources
Training is used to adjust the model parameters, particularly the input membership function parameters, and the corresponding output values.
The calibration methodology relied on a genetic algorithm strategy which allowed estimating and updating numerical model parameters, particularly the elastic properties of materials.
Improvements made to the model parameters, particularly in the areas of hydrogen abstraction from the initial DIPK molecule and low-temperature peroxy chemistry, are discussed.
The choice of the model parameters (particularly b) as well as the implementation were successful in the sense that no subject was able to destabilize the force-feedback device to cause any discomfort or large-amplitude oscillations that would have required disabling the device, stopping the experiment, or similar.
In the simplest analogy to the threshold model, one can think of the model parameters, particularly γ and κ (i.e. recovery rate) or ξ (susceptibility) as being analogous to the liability, with heritable between-animal variation.
Furthermore, when our proposed method is used for an integrative analysis of more than 3 data sets, it is desirable to simplify the mixture model so that the number of model parameters (particularly for ) can be reduced to achieve statistical efficiency.
The explicit equations relating the dynamics of the attractor network to the model parameters are particularly useful when designing an attractor network to model a set of observed phenomena.
Simulation exercises can require more computing time than model parameter estimation, particularly if many hundreds of trials are simulated to gauge uncertainty in the predictions.
Because BI incorporates uncertainty about nuisance parameters, it has been favored over ML for implementing complex models with many parameters, particularly when data are limited [3], [10], [12], [14].
To estimate the model parameters, three algorithms are particularly useful: For first attempts the settings-free Tribes algorithm yields valuable results.
As with any Bayesian analysis, an evaluation of the sensitivity to the prior distribution for the model parameters should be included, particularly for informative priors.
