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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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Eric J. Parish; Kevin T. Carlberg;
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1. Time-series machine-learning error models for approximate solutions to parameterized dynamical systems [J] . Parish Eric J., Carlberg Kevin T. Computer Methods in Applied Mechanics and Engineering . 2020,第Juna15期

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
2. Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations [J] . Freno Brian A., Carlberg Kevin T. Computer Methods in Applied Mechanics and Engineering . 2019,第MAYa1期

机译：非线性方程参数化系统近似解的机器学习误差模型
3. Machine-learning error models for approximate solutions to parameterized systems of nonlinear equations [J] . Freno Brian A., Carlberg Kevin T. Computer Methods in Applied Mechanics and Engineering . 2019,第May1期

机译：非线性方程参数化系统近似解的机器学习错误模型
4. Minimum Entropy Control Approach of Closed-Loop Tracking Errors for Dynamic Stochastic Systems Using Yula parameterization formula [C] . Chengzhi Yang, Hong Wang . 2006

机译：基于Yula参数化公式的动态随机系统闭环跟踪误差的最小熵控制方法
5. ON APPROXIMATE SOLUTION TECHNIQUES FOR QUEUEING NETWORK MODELS OF COMPUTER SYSTEMS [D] . TRIPATHI, SATISH KUMAR -1

机译：计算机系统排队模型的近似求解技术研究
6. Stable machine-learning parameterization of subgrid processes for climate modeling at a range of resolutions [O] . Janni Yuval, Paul A. O’Gorman -1

机译：在各种分辨率下为气候建模对子网格过程进行稳定的机器学习参数化
7. Dynamic Modelling and Optimization of Polymerization Processes in Batch and Semi-batch Reactors. Dynamic Modelling and Optimization of Bulk Polymerization of Styrene, Solution Polymerization of MMA and Emulsion Copolymerization of Styrene and MMA in Batch and Semi-batch Reactors using Control Vector Parameterization Techniques. [O] . Ibrahim W. H. B. W. 2011

机译：分批和半分批反应器中聚合过程的动态建模和优化。动态和建模的苯乙烯本体聚合，MMA的溶液聚合和苯乙烯和MMA的乳液聚合在间歇和半间歇反应器中使用控制矢量参数化技术。
8. A UNIVAC 1108 Program for Obtaining Rigorous Error Estimates for Approximate Solutions of Systems of Equations [R] . Kuba, D., Rall, L. B. 1972

机译：一个UNIVaC 1108程序，用于获得方程组近似解的严格误差估计

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

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