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In addition, the suggested inputs with robustness incorporated show marked insensitivity to errors in natural frequency and damping ratio estimates.
These uncertainties include: unmodeled high-frequency dynamics, errors in natural frequencies and damping levels and actuator and sensor errors.
This is caused by one or more of the blocks shown in Figure 1, e.g., inadequate acoustic coverage of training utterances, noisy speech database [24, 25], errors in natural language processing, inadequate contextual factors [26], inaccurate statistical modeling [3], the PG algorithm [11 14], or vocoding distortion [5 9].
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However, neglecting to account for ageing error in natural mortality rate estimates resulted in a substantial underestimation of reference points.
After updating, the mean error in natural frequencies is decreased from 3.23% to 2.34%, and the average MAC number is increased from 0.87 to 0.94.
In this analysis, standard deviations of error in natural log-transformed variables can be interpreted as error CVs in the untransformed concentrations.
In particular, they show that the percentage errors caused by neglecting shear deformation when calculating natural frequencies of loaded structures will be greater often very much greater — than the percentage errors in unloaded natural frequencies or buckling loads caused by neglecting shear deformation.
Neglecting either anisotropic effects or transverse-shear deformation effects leads to non-conservative errors in predicted natural vibration frequencies.
In the present study, we investigated brain potentials before the commission of errors in a natural and complex situation.
However, as discussed in [21], such kind of error seldom appears in natural images (about 1% of the image blocks have truncation errors), and any block with pixels having luminance value of 0 or 255 is discarded for further analysis.
The main disadvantage of a STMFD is its sensitivity of the effectiveness to the error in the natural frequency of the structure.
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