Exact(5)
The error is decreasing after 300 training epoch using the Levenberg-Marquardt method.
With higher SNRs, the overall error is decreasing, and the SAD seems to be more reliable.
The variance of the estimation error is decreasing in both and and is increasing in the remaining range of.
In Figure 3, with the constant number of CS observation, the simulation results show that the tendency of reconstruction error is decreasing with the increasing amount of training signals.
As s increases, the expected error increases, for all population sizes, although the relative error is decreasing.
Similar(55)
The first type of error is decreased by taking shorter time steps.
Redistribution error is decreased when numbers of learning cycles are increased.
Figure 2(c) confirms that the variance of the quantization error is decreased when both and are increased.
Hence, the maximum error is decreased from 3%to0.5%5% via use of the pseudopotentials employed in this study.
The chemical-shift displacement error is decreased and therefore the lactate signal is increased by using refocusing pulses with a broad bandwidth.
A deep insight into Figs. 6 and 7 and Table 6 suggests the superiority of the ICA SVR when the error is decreased to zero.
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