Sentence examples for mean square rate from inspiring English sources

In these two models, we use standardized residuals with the goal of determining whether the use of standardized residuals reduces the mean square rate error.

Figure 6a shows the mean square rate (MSE) of the of the ANN training process with 15 indoor and 15 outdoor users.

We prove that our algorithm converges almost surely to an unbiased estimate of the average of agents' initial states, compute the exponential mean-square rate of convergence, and formally characterize its differential privacy properties.

One important point to note at this stage is that with each epoch the mean square error rate reduces as illustrated in Fig. 3, where the true-positive rate in line with the false-positive rate in the form of the region of convergence (ROC) is shown in Fig. 4.

Measuring mutual information with a kernel density estimator (KDE)—a non-parametric method for estimating probability densities of variables is more advantageous than histogram-based methods in terms of a better mean square error rate of convergence of the estimate to the underlying density [ 32].

In [12], Steinebach and Dittmann used audio features including the root mean square, zero cross rate, and spectral information of frame-based audio samples to design a content-fragile authentication scheme.

Based on constructing a set of augmented Lyapunov-Krasovskii functional, new delay-dependent criteria for guaranteed cost control via memoryless feedback control is established in terms of LMIs, which allow simultaneous computation of two bounds that characterize the mean square exponential stability rate of the solution and can be easily determined by utilizing MATLABs LMI control toolbox.

Parameters such as vibration intensity in root mean square (rms) acceleration, heart rate, oxygen consumption rate and work-related body pain of operators were evaluated to study the fatigue on the operators.

Furthermore, three other proposed design examples achieve better bit error rate, mean square error, and sum capacity performances than the proposed IA-equivalent SVD example design, respectively.

Then the null solution of impulsive Markovian jumping stochastic fuzzy system (1.1) is globally stochastically exponentially stable in the mean square with the convergence rate 1 2 ( λ − ln ( ρ e λ τ ) δ τ ).

Then the null solution of impulsive stochastic fuzzy system (1.4) is globally stochastically exponentially stable in the mean square with the convergence rate 1 2 ( λ − ln ( ρ e λ τ ) δ τ ).