Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification-Reference-Cited by-同舟云学术

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Gated Linear Model induced U-net for surrogate modeling and uncertainty quantification

Published:2023-04 Issue: Volume:72 Page:103421
ISSN:0266-8920
Container-title:Probabilistic Engineering Mechanics
language:en
Short-container-title:Probabilistic Engineering Mechanics

Author:

Mendu Sai Krishna,Chakraborty Souvik^ORCID

Publisher

Elsevier BV

Subject

Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Condensed Matter Physics,Nuclear Energy and Engineering,Civil and Structural Engineering,Statistical and Nonlinear Physics

Reference45 articles.

1. Deeply uncertain: comparing methods of uncertainty quantification in deep learning algorithms;Caldeira;Mach. Learn.: Sci. Technol.,2020

2. Evaluation of measurement data—Guide to the expression of uncertainty in measurement;Jcgm;Int. Organ. Stand. Geneva ISBN,2008

3. Simulation and the Monte Carlo Method, Vol. 10;Rubinstein,2016

4. Orthogonal array-based Latin hypercubes;Tang;J. Amer. Statist. Assoc.,1993

5. Optimum stratified sampling using prior information;Ericson;J. Amer. Statist. Assoc.,1965

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