Time-series machine-learning error models for approximate solutions to parameterized dynamical systems

Parish Eric J.; Carlberg Kevin T.

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Time-series machine-learning error models for approximate solutions to parameterized dynamical systems

机译：用于参数化动态系统的近似解的时间序列机器学习错误模型

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《Computer Methods in Applied Mechanics and Engineering》 |2020年第15期|112990.1-112990.44|共44页
作者
Parish Eric J.; Carlberg Kevin T.;
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作者单位

Sandia Natl Labs Livermore CA 94550 USA;

Univ Washington Dept Appl Math & Mech Engn Seattle WA 98195 USA;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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7. Time-series machine-learning error models for approximate solutions to parameterized dynamical systems [O] . Eric J. Parish, Kevin T. Carlberg 2020

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8. A UNIVAC 1108 Program for Obtaining Rigorous Error Estimates for Approximate Solutions of Systems of Equations [R] . Kuba, D., Rall, L. B. 1972

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Time-series machine-learning error models for approximate solutions to parameterized dynamical systems

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