Quantification of Errors Generated by Uncertain Data in a Linear Boundary Value Problem Using Neural Networks-Reference-Cited by-同舟云学术

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Quantification of Errors Generated by Uncertain Data in a Linear Boundary Value Problem Using Neural Networks

Published:2023-11-28 Issue:4 Volume:11 Page:1258-1277
ISSN:2166-2525
Container-title:SIAM/ASA Journal on Uncertainty Quantification
language:en
Short-container-title:SIAM/ASA J. Uncertainty Quantification

Author:

Halonen Vilho¹^ORCID,Pölönen Ilkka¹

Affiliation:

1. Faculty of Information Technology, University of Jyväskylä, Mattilanniemi 2, 40100, Jyvaskylä, Finland.

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Discrete Mathematics and Combinatorics,Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference9 articles.

1. The Finite Element Method for Elliptic Problems

2. Accuracy Verification Methods

3. Generation of Error Indicators for Partial Differential Equations by Machine Learning Methods

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