Sentence examples for estimation rule from inspiring English sources

Accumulated fatigue damage modeling is employed as a damage estimation rule based on generalized material property degradation.

The in-network processing starts with each node measuring its local variable and sending messages to its immediate neighbors followed by evaluating its local estimation rule based on the received messages and measurements.

Using the minimax robust estimation principle and the unbiased linear minimum variance (ULMV) optimal estimation rule, the five robust weighted fusion time-varying Kalman filters are presented based on the worst-case conservative systems with the conservative upper bounds of noise variances.

According to the minimax robust estimation principle and the unbiased linear minimum variance (ULMV) optimal estimation rule, the six robust weighted fusion time-varying Kalman smoothers are presented based on the worst-case conservative system with the conservative upper bounds of noise variances.

The FC reconstructs the source based on linear minimum mean-squared error (LMMSE) estimation rule.

We assume that the FC reconstructs the underlying source using linear minimum mean squared error (LMMSE) estimation rule.

While many classification rules have been posed, there is a paucity of error estimation rules and an even greater paucity of theory concerning error estimation accuracy.

According to the radar dynamic detecting characters during the whole penetration course, a dynamic stealth performance evaluating model is proposed accompanied by a series of stealth ability estimation rules.

Therefore, it is the aim of this work to provide data on the thickness and composition of the anterior chest wall based on MRI examinations of healthy volunteers and to compare these measurements with different empirical estimation rules for the chest wall thickness.

On the other hand, the Lasso regularization possesses continuity but the estimates are biased, because in addition to small, large-amplitude coefficients are "shrunk" too. Figure 2 Regularized LS estimation rules in the scalar case: (a) (group) Lasso, (b) Schwarz-type regularization, and (c) SCAD.

The non-linear estimation rules in (30) and (31) are depicted in Figure 2a,b, respectively, for λ = 2. Observe that both regularization functions effect sparsity, since coefficients with small amplitude are set to 0. The Schwarz-like regularization yields unbiased estimates, but the solution is not continuous with respect to y.