Sentence examples for model robustness was from inspiring English sources

Model robustness was further demonstrated by deriving and quantifying analytical, dynamic sensitivity and uncertainty measures.

The TRNSYS based model robustness was tested for different environmental conditions; the climate impact onto solar radiation transformation into heat on the wall and on the leaves is matched with plant vegetation cycle.

Model robustness was tested by comparing results obtained with data from the side-by-side flying satellites Alpha and Charlie: currents derived with Charlie describe more than (97,%) of those derived from Alpha.

Model robustness was tested by cross-validation (CV) with Venetian Blinds, which builds a classification model based on 90% of the data, tests the remaining 10% against that model, and repeats the process through ten iterations to assess its predictive power.

Model robustness was assessed using nonparametric bootstrap and visual predictive check approaches.

Model robustness was tested using both deterministic and probabilistic sensitivity analyses; results proved the model reliability.

Furthermore, the optimized pretreatment methods and wavelength variables are more reasonable, the model complexity is smaller, and the model robustness is stronger than other relative methods.

Because model fidelity and model robustness are two conflicting objectives, the new approach involves a multi-objective optimization that leads to a Pareto front, which defines a tradeoff relationship between model fidelity and model robustness.

The tradeoff between solution robustness and model robustness is also analyzed in the obtained results.

For any empirical learning method, statistical assessment of the model robustness is an important process.

Examples are reported in Section 3. The model robustness is also verified, considering stress conditions during the test cases.