Sentence examples for model predictor and from inspiring English sources

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An observer-based output feedback controller is designed based on a reduced-order model and includes an inter-sample model predictor and a propagation unit that compensates for measurement intermittency and delays, respectively.

Similar(59)

Statistical partitioning of contrasting species response – focussed on species identify, choice of model predictors and location – provides structured recommendations for the future development of biologically-realistic and downscaled growth models.

A total of 2521 eligible patients were admitted between 1 August 2006 and 31 July 2008, of which 2517 (99.8%) had available information on all model predictors and formed the validation dataset.

For example, the OR for a 0.1-ppm increase in periconceptional CO exposure was 1.10 (95% CI, 0.98 1.23) among 1,579 women with no out-of-range model predictors and 1.06 (95% CI, 0.99 1.12) among 1,930 women with one or more out-of-range predictors (ORs were adjusted for maternal characteristics and season but not year).

Model residuals and final model predictor variables were examined visually for heteroscedasticity and for collinearity using tolerance values and variance inflation factors (i.e., VIF  = 1/tolerance); tolerance values <0.1 and VIFs >10 point to strong collinearity [45].

These indicate that the RES based model predictor with higher R2 and less RMSE performs better than the other models.

It is a good choice to set the feature number as five, as shown in Table  2, considering the balance between accuracy and additional complexity introduced by feature extraction and SVM model predictor.

Because the additional uncertain terms do not enter the embedded model, state predictor and control law maintain the same structure as in.

The proposed model is designed through two phases of modeling: a predictor and a descriptor.

This method produces a sequence of models starting with the null model (no predictors) and ending with the full model (all potential predictors included).

It consists of one decomposition model, two predictors, and one synthesis model.

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