Hydrostatic guideways can obtain high motion accuracy due to their error averaging ability.
The metric is defined as a relative error averaged over all the AC: (1).
The probability of error averaged over the channel realization is given by (36).
This could be because of the error averaging nature of the cyclic mean computation.
A comparison among constructed models and previous models using the concepts of correlation coefficient, mean square error, average relative error and absolute average relative error reveals power-law committee machine outperforms all SVR, ACE, and previous models.
The performance of different schemes was tested using error criteria of correlation coefficient, average error, average absolute deviation, and mean square error.
For flat-fading channels, the average pair-wise probability of error, averaged over the channel distribution, is given by (11).
The calculation results are summarized in Table 3 with the minimum error, maximum error, average absolute error, and standard deviation of the error for each correlation.
For models without age, mean error averaged 0.530 and 0.384 m3 ha−1 yearespectivelyively, for non-parametric and parametric models while for models with age, mean error averaged 0.613 and 0.451 m3 ha−1 yearespectivelyively, for non-parametric and parametric models.
The metric that was proposed for the evaluation represents the relative error averaged over all acoustic classes (ACs): Error = average i dur ( miss i ) + dur ( fa i ) dur ( ref i ), (1).
Symbols/category Description Topology Broadcast forwarding probability Stochastic forwarding/no collision probability Probability of zero channel error Average degree/Tr.
