Results 31 to 40 of about 766,215 (314)
Statistical Science, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Clyde, Merlise, George, Edward I
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Uncertainty Analysis of Neutron Diffusion Eigenvalue Problem Based on Reduced-order Model
Yuanzineng kexue jishu, 2023 In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model ...
In order to improve the efficiency of core physical uncertainty analysis based on sampling statistics, the proper orthogonal decomposition (POD) and Galerkin projection method were combined to study the application feasibility of reduced-order model based on POD-Galerkin method in core physical uncertainty analysis. The two-dimensional two group TWIGL benchmark question was taken as the research object, the key variation characteristics of the core flux distribution were extracted under the finite perturbation of the group constants of each material region, and the full-order neutron diffusion problem was projected on the variation characteristics to establish a reduced-order neutron diffusion model. The reduced-order model was used to replace the full-order model to carry out the uncertainty analysis of the group constants of the material region. The results show that the bias of the mathematical expectation of keff calculated by reduced-order and full-order models is close to 1 pcm. In addition, compared with the calculation time required for uncertainty analysis of full-order model, the analysis time of reduced-order model (including the calculation time of the full-order model required for the construction of reduced-order model) is only 11.48%, which greatly improves the efficiency of uncertainty analysis. The biases of mathematical expectation of keff calculated by reduced-order and full-order models based on Latin hypercube sampling and simple random sampling are less than 8 pcm, and under the same sample size, the bias from the Latin hypercube sampling result is smaller. From the TWIGL benchmark test results, under the same sample size, Latin hypercube sampling method is more recommended for POD-Galerkin reduced-order model.
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Uncertainty quantification in DenseNet model using myocardial infarction ECG signals
, 2023 Background and objective: Myocardial infarction (MI) is a life-threatening condition diagnosed acutely on the electrocardiogram (ECG). Several errors, such as noise, can impair the prediction of automated ECG diagnosis.
Oh, Shu Lih +6 more
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Assessment of model bias of SPT, Vs and CPT-based liquefaction models
Yantu gongcheng xuebao, 2023 The liquefaction models established through the in-situ tests and liquefaction case histories are widely adopted in the liquefaction evaluation of a site.
SHEN Mengfen , BAO Lichun , SUN Honglei , CAI Yuanqiang
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Model Uncertainty: A Reverse Approach
SIAM Journal on Financial Mathematics, 2022 Robust models in mathematical finance replace the classical single probability measure by a sufficiently rich set of probability measures on the future states of the world to capture (Knightian) uncertainty about the "right" probabilities of future events.
Felix-Benedikt Liebrich +2 more
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Embedded model control, performance limits: A case study
Dyna, 2017 This paper presents the analysis and implementation of two control laws applied on a case study. The first one and main focus of this work is the Embedded Model Control whose main characteristics are the active disturbance rejection and uncertainties ...
Wilber Acuña-Bravo +2 more
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On the relationship between aerosol model uncertainty and radiative forcing uncertainty. [PDF]
Proc Natl Acad Sci U S A, 2016 Lee LA, Reddington CL, Carslaw KS.
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Analyzing Propagation of Model Form Uncertainty for Different Suspension Strut Models
, 2022 S.255-263Model form uncertainty often arises in structural engineering problems when simplifications and assumptions in the mathematical modelling process admit multiple possible models.
Melz, Tobias +4 more
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IEEE Access, 2023 This paper investigates the adaptive control problem for a class of Euler-Lagrangian (EL) systems with uncertain parameters and external disturbances.
Bowen Zhang, Tong Wu, Tianqi Wang
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Atmosphere, 2021 The projected ISM precipitation changes under low-emission scenarios, Representative Concentration Pathway 2.6 (RCP2.6) and Shared Socioeconomic Pathway 1-2.6 (SSP1-2.6), are investigated by outputs from models participating in phases 5 and 6 of the ...
Shang-Min Long, Gen Li
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