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The third class of algorithms is based on high-dimensional model representations, e.g., the ANOVA method and probabilistic collocation methods.
Zhang et al.[10 14] proposed a signal dynamic model and used the geometric method and probabilistic cover algorithm based on dynamic clustering to localize targets.
The aim of the case study is to exemplify how a quantitative assessment with the BMA method and Probabilistic Uncertainty for input variables to energy models could work.
Two performance-based methods were used: safety factor method and probabilistic method, and their results compared with the traditional prescriptive approach.
Considering fatigue behavior of bars with finite element method and probabilistic analyze provide many advantages predicting the life of dies in the design process.
The mesoscale deterministic cellular automaton (CA) method and probabilistic Q-state Potts-based Monte Carlo (MC) model have been adopted to investigate independently the individual growth behavior of ferrite grain during the austenite –ferrite transformation.
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Risk assessment methods which are the most used in assessing reliability are developed and improved on the basis of certainty analysis methods and probabilistic analysis methods [17].
Nevertheless, data uncertainty is a well-recognised issue associated with LCC deterministic calculation methods and probabilistic methodologies could instead provide a more effective decision support.
A new approach is proposed by combining the probabilistic fracture mechanics (PFM) method and the probabilistic safety assessment (PSA) method.
Comparisons between the parameter perturbation method and the probabilistic approach from mathematical proofs and numerical simulations were performed.
A comparison is made with 3SD method and a probabilistic patch-based (PPB) filter based on nonlocal means approach [7] which can cope with non-Gaussian noise.
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