Sentence examples for by using the probabilistic from inspiring English sources

Fragility curves are developed first for the components, by using the probabilistic seismic demand model.

In our paper we plan to discuss the problem of probabilistic erasures by using the probabilistic model.

The second step is to find a collision-free path in the configuration space by using the probabilistic road map (PRM) method.

In this study, the safety enhancement of various nuclear reactors has been quantitatively evaluated by using the probabilistic safety assessment method (PSA).

The final decisions (categorizations) of SSCs, however, are qualitatively made by an expert panel through discussions and adjustments of opinions by using the probabilistic insights compiled in the initial categorization process and combining the probabilistic insights with the deterministic insights.

In order to launch a further investigation on this issue, a numerical simulation-based parametric study on a flip chip is implemented in this paper by using the probabilistic designing approach.

The random nature of the mistuning is then modeled by using the nonparametric probabilistic approach extended to the nonlinear geometric context.

In this framework, the architecture of the hybrid soft computing models is created and evolved by using the modified probabilistic incremental program evolution (MPIPE) algorithm, and the parameters used in hybrid soft computing models can be optimized using a class of optimization techniques.

For comparison purposes, we also computed uniform hazard spectra (Figs. 13, 16, 19) by using the classical probabilistic earthquake hazard methodology, which depends on annual probability of exceedance of an earthquake and empirical attenuation relationships, proposed by Cornell (1968).

This new parameter set w ˜ jm is trained by using the generalized probabilistic descent (GPD) algorithm [16] as w ˜ jm n + 1 = w ˜ jm n − ϵ ∇ l k w ˜ jm n, (13).

where N is the number of layers in the wavelet decomposition, and QS-SVM is the score obtained by analyzing the original image using the probabilistic SVM model described in the preceding.