Sentence examples for satisfying errors from inspiring English sources

Table 3 justifies our choice of finding at least 12 matched patterns to continue the PM forecast procedure and obtain satisfying errors (apart from the value of 23.31 for the 60-min-ahead forecast (see Table 3) which probably pertains to an unusual situation); our choice is derived from a tradeoff, and thus limits the intractable situations to only 12%% of the total cases.

State-of-charge estimation with satisfying error tolerance is realized in the SPC/LFP full cell.

By evaluating the results using 2 parameters of pearson correlation coefficient and root mean square error, a satisfying agreement was found between ANN outputs and real observed data.

On average, however, also the nearest neighbor approach yields satisfying low errors.

So, if δ is chosen to reflect what is considered a meaningful absolute squared difference in the probabilities, then the logits satisfying this error bound implies that the probabilities also satisfy this, at least when δ is small.

A special variance reduction treatment has been developed so that neutrons reach the far regions in the high collimated neutron beam and score with a satisfying statistical error.

AURA-DC is introduced to approximate the CMVM operation to have the fewest number of operations under the minimum number of adder-steps, satisfying the error constraints.

Experimental results showed that the proposed methods can significantly reduce the number of adders/subtractors and adder-steps in the CMVM operation, satisfying the error constraints.

Since the purpose of this research is to determine a combination of the step size Δλ and NSD of the PRA satisfying the error conditions, we only consider this combination in the following discussion.

To the best of our knowledge, the algorithms we propose in this paper are the only methods that realize the approximation of the CMVM operation under the shift-adds architecture, considering the sharing of common subexpressions and satisfying the error constraints.

The algorithm possesses the trust-region property and the derivative-free technique is reflected in the trust-region subproblem (7) since the gradient (g_{k}) and Hessian (H_{m_{k}}) come from the approximation function, which are different from (nabla f_{k}) and (H_{f_{k}}) in (5), satisfying the error bounds (11) and (12).