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The simulated water levels, water depths, and flow velocities showed good agreement with the 3-year field-monitored data with percent model errors of approximately 4%, 12%, and 10%, respectively.
The importance measures of the random variables indicate that the external loads, the performance criteria, the model errors of load transfer curves and soil strength parameter are the most important factors in reliability analysis.
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In this paper, we study the effect of model errors on the performance of feedforward controllers.
The agreement between modeled and calculated hmF2 is also good with overall model error of less than 10% during low solar activity year of 1987.
Finally, the effects of tensile properties and model error of theoretical moment curvature diagrams are assessed.
As shown by the comparison between experimental and simulation results, the model error is restricted to ±1%, corresponding to a maximum absolute model error of 0.6 V.
The model error of this best classifier was 11.3%.
Furthermore, all validation blends yielded errors which are within the model error of 0.2 cSt.
Four validation mixtures in Table 2 yielded validations errors which were within the model error of 2.7 °C.
As Iinuma et al. (2012) pointed out, the model error of the response matrix due to spatial heterogeneity might be up to 10%% of the amplitude of the data.
The translation parameters were introduced to reduce the influence of the common-mode noise caused by the reference station in RTK-GNSS processing, e.g., the model error of atmospheric delay and the coseismic displacement at the reference station.
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