A bootstrap strategy to train, validate and test reduced order models of coupled geomechanical processes-Reference-Cited by-同舟云学术

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A bootstrap strategy to train, validate and test reduced order models of coupled geomechanical processes

Published:2024-03 Issue: Volume:167 Page:106094
ISSN:0266-352X
Container-title:Computers and Geotechnics
language:en
Short-container-title:Computers and Geotechnics

Author:

Hu Roger,Kumar Anil^ORCID,Yellishetty Mohan^ORCID,Walsh Stuart D.C.^ORCID

Publisher

Elsevier BV

Reference65 articles.

1. Design optimization using hyper-reduced-order models;Amsallem;Struct. Multidiscip. Optim.,2015

2. Investigation of computational and accuracy issues in POD-based reduced order modeling of dynamic structural systems;Azam;Eng. Struct.,2013

3. Reduced-order subscales for POD models;Baiges;Comput. Methods Appl. Mech. Engrg.,2015

4. A recurrent neural network for modelling dynamical systems;Bailer-Jones;Netw. Comput. Neural Syst.,1998

5. Evaluation of rapid performance reservoir models for quantitative risk assessment;Bromhal;Energy Procedia,2014

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