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Variations of error for sinusoidal multi-cutters are investigated for different cutter topologies.
The higher variations of error bounds experienced in regions 2 and 3 may be because of the considerable spatial fluctuations of elevations due to their spatially undulating mountainous topography, which cause uncertainties in rainfall prediction.
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Further studies provide the variations of errors from the Darcy's law with different parameters, including channel length, gas diffusion layer (GDL) thickness, land width, inlet flow rate, GDL permeability and GDL inertial coefficient.
While Fig. 14 illustrates levels and variation of registration errors between images in the entire successful set, it does not reveal typical variations of errors within images.
As error-fitting function, the Poisson series can describe variation of error with respect to propagation duration and on-orbit position of objects.
The specific energy varied with cutter location on sinusoidal wave, and the maximum variation of error occurred on cutter number n = 3 per unit wave.
Now, we consider the variation of error.
Open image in new window Fig. 8 Graphic show the variation of error of each model.
The variation of error with increasing epoch numbers is shown in Figure 5.
One can see, Figure 3, that the configuration space (750 times500 times500) breaks up into several blocks on which we can assume a linear variation of error.
Although the variation of error values caused different assignments, any clear improvement in the assignment results was not identified for the different analyses (Fig. 1).
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