Sentence examples for for further prediction from inspiring English sources
For this reason, as well as the reasons described above, nine markers predictive for both types of PE were selected for further prediction modeling.
We concluded that the methodology would be applicable for further prediction of SIC stocks in the Tibetan Plateau or other similar areas.
It is shown from the examples that the ANN has adequately recognized the characteristics of the monitored data sets retaining a generality for further prediction.
Rock physics modeled elastic logs also allowed to understand the relationship between the petrophysical and elastic rock properties to be used for further prediction of reservoir properties away from the well locations.
The state variables obtained by the blending of past model evolution with currently available data, along with their associated minimized errors (or uncertainties), are then used as initial conditions for further prediction until the next time at which data becomes available.
Using >650 records of experimentally validated steroid hormone response elements, a high sensitivity level of 73% and high specificity level of one prediction per 8.24 kb is reached, allowing this model to be used for further prediction of primary target genes through the analysis of their upstream promoters, for human or other vertebrate genomes of interest.
This paper shows that constant properties assumption has application for engineering purposes and variable properties gives more phenomenological information for further predictions.
In other words, if the rmse computed value is greater or if the bias value between the model data and the observed data is greater, the performance of the model capturing that particular area climate situation is poor and unable to use such models for further predictions.
Our results have indicated the roles of rearing enclosures on the likelihood of feral population establishment of introduced species, and therefore supplied helpful information for further predictions.
The performance measures were checked at different thresholds of SVM scores ranging from −1.0 to 1.0 and the threshold where the model yielded the best ones was used for further predictions by the model.
