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The result shows a mean error of 3.38 %.
The analyses show that the mean error of blasting vibration speed is 5.7%.
Furthermore the estimators can only evaluate the mean error of the whole spatial domain.
The mean error of the linear model is less than 2% for certain cases.
By contrast, the standard method of Gaussian process regression performs poorly in this test, giving a rough age with a mean error of almost 12 years.
The laboratory test showed that the mean error of measurement is 0.1 mm with standard deviation of 1.14 mm.
In precision measurements, we utilized mean error of rigid body fitting (ME) values as an internal control for examinations.
Data-driven models performed better with a mean error of 12% and improve the R2 of ROP prediction from 0.12 to 0.84.
The results showed that the kurtosis of this model was 1.11922, skewness was −1.49277 and mean error of the system was 0.81499, which was relatively small.
The analysis of passive components resulted in a mean error of 2.9% for the magnitude and 0.69 degrees for the phase.
With a mean error of 10%, simulation results pointed out that the network layers may introduce overheads that degrade applications' performance up to 66%.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com