The reason for wrong rewarding of the "Radius decrease" error, is that the reduction of the size of clusters increases their compactness, and thus both CH and I increase.
The presented technique is applied to two examples where the reduction error is found to be comparable to the traditional POD method.
Validations of the reduced diffusion models obtained with about 10% reduction error in premixed and nonpremixed flames show good agreement with the detailed model, and the worst case reduction error is close to the user-specified level of 10%.
A significant reduction in error is obtained at all frequency ranges with PSO based prediction method.
In modern machining applications, reduction of contour error is an important issue concerning multi-axis contour following tasks.
Here the rate of reduction in sampling error is greater than the other alternatives, although there are higher initial costs (Figure 4EF, Figure 7EF).
Here the rate of reduction in sampling error is greater than the other alternatives, although there are higher initial costs.
This dramatic reduction of classification error is due to the 'garbage' variables that make it more difficult for RF to recognize the informative variables.
begin{aligned} {{varvec{e}}}_k =Vert {{varvec{y}}}_k -{{varvec{d}}}_kVert end{aligned} (6 This error reduction is based on a number of methods all of which aim at recalculating the initial weights so that the overall network error is minimized.
HEART (human error assessment and reduction technique) is widely recognized a robust empirical tool in determination of HEP (human error probability) since prediction of human error is of paramount importance in marine industry (Williams, 1988).
