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However, traditional ways to implement the construction of prediction interval is very difficult.
A two stage optimization procedure is envisaged in this study for construction of prediction interval for the ANN output.
The proposed method was applied to a real world case study in order to identify the effectiveness of the construction of prediction interval for the Leaf River Watershed.
While confidence intervals are well known in the transportation engineering context, very little attention has been paid to construction of prediction intervals for neural networks.
Figure 3 presents a schematic overview of this strategy for the construction of prediction models and evaluation of outcomes.
Our method facilitates the application of RR to genetic data for the construction of prediction models.
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In both KBSVM and KBANN, the rules are used only to bias the construction of the prediction function and the prediction is typically a black box.
Furthermore, this approach can also be used for the construction of 95% prediction intervals by computing the associated percentiles of the ensemble of predictions.
The construction of the prediction equation and subsequent estimation of DGV or GEBV is termed "genomic prediction" and is the first step in genomic selection [ 12].
The construction of a prediction tool is a difficult undertaking; it requires careful methodological consideration and validation before the predictions can be deemed valid and reliable in naïve patients [ 2, 3].
Based on the realization construction of state prediction and measurement update, Kalman filter can obtain the optimal estimation of state under the linear minimum variance criterion.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com