Sentence examples for modeling of peak from inspiring English sources

Then, the entropy-based ENN is applied to the modeling of peak particle velocity (PPV) damage criterion for rock mass.

The joint probability distribution modeling of peak and residual displacement seismic demands based on the copula theory is demonstrated, and the developed statistical models are used to examine the effects of nonlinear dependence on seismic reliability assessment.

These results were analyzed by modeling relaxation of peak stresses in the notch with continued dwell fatigue cycling.

Therefore, the same properties appear, such as accurate modeling of peaks rather than dips.

Analysis and modelling of peak shapes show that the stronger the retention, the higher the reduced variance of the Np V) peaks.

The performance of the Cross-Ent approach is compared with a widely used Pareto model of peak data and an exponential model of transformed data.

Similarly, a linear mixed model of peak velocities with 5 and 20 Hz stimulation used peak velocity without stimulation as a covariate and demonstrated an interaction between stimulation frequency and baseline performance (F[1,9.6] = 5.993, p = 0.035).

The key points to contributing the success of this method lie in three aspects: the consideration of accurate mass shifts for peak matching; the use of full peptide sequence information for consensus spectral optimization; a new scoring function that combines the general intensity-based dot-product with a probabilistic model of peak matching.

The Manchester model of peak-time only cordon charging is very different from the London model.

Through the probabilistic model of regional wind and PV power outputs and the model of peak-valley price in two-stage, this paper solves the problem of large scale EV ordered charging.

The paper evaluates the effectiveness of the method of L-moments for estimating parameters of the Pareto distribution model of peaks over a sufficiently high threshold, and compares its performance against a widely used method of de Haan (de Haan L. Extreme value statistics. In: Galambos J, Lechner J, Simin E, editor. Extreme value theory and applications, vol. 1. 1994. p. 93 122).