Sentence examples for model component and from inspiring English sources
This study introduces an experimental design to identify propositions in each uncertain model component and decrease the prediction uncertainty by reducing conceptual model uncertainty.
Some of the recent studies dealing with current prediction using physics based methods are given below: Farrara et al. (2013) developed a three-dimensional ocean model based on ROMS driven by output from a regional atmospheric model component and validated against independent observations.
It is found that: the errors associated with large time-step integration do not cause statistically significant errors to the bulk behavior; rolling resistance is a necessary model component; and the outlet flow from the drum is sensitive to fine material adhering to the outlet creating a thick coating that narrows the outlet gaps.
The adaptive learning systems literature reports numerous accounts of learner model development, but there are no reports on the methodological aspects of developing learner models and the relation between the development of the learner model component and the rest of the system.
The relationship between each annotated model component and the accompanying cross-reference to an external resource is specified using terms from a controlled vocabulary [ 13].
Appendix 4 is a summary from the following web page (retrieved on September 2011) http://www.ebi.ac.uk/compneur-srv/miriam-main/mdb?section=qualifiers The qualification of an annotation specifies the relation between a model component and its annotation.
Multi-component Earth system models need to be redesigned to make interactions among model components and other applications external to the modeling system easier.
Configuring WSN model components and selecting the scalable parameters for the entire simulated WSN are accomplished.
Cost-benefits analysis could also be performed to assess model components and operational success.
The number of model components and component parameters are considered unknown random variables to be estimated.
We obtain the source-independent model components, and by averaging the individual models over the training set.
