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A comparative study of 7 algorithms for model reduction
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Abstract: Compares seven model reduction algorithms by applying them to four different dynamical systems. There are four singular value decomposition (SVD) ...
有關 A comparative study of 7 algorithms for model reduction. 的學術文章 | |
… comparative study of 7 algorithms for model reduction - Gugercin - 76 個引述 A comparative study of reduced error pruning method … - Mohamed - 276 個引述 A survey of model reduction methods for large-scale … - Antoulas - 936 個引述 | |
A comparative study of 7 algorithms for model reduction
IEEE Xplore
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由 S Gugercin 著作2000被引用 76 次 — In this note we presented a comparative study of seven algorithms for Model Reduction: balanced model reduction, approximate balanced reduction, singular.
A comparative study of 7 algorithms for model reduction
ResearchGate
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2024年10月22日 — Compares seven model reduction algorithms by applying them to four different dynamical systems. There are four singular value decomposition ...
[PDF] A comparative study of 7 algorithms for model reduction
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Compares seven model reduction algorithms by applying them to four different dynamical systems and concludes that the rational Krylov algorithm gives the ...
A comparative study of 7 algorithms for model reduction.
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Serkan Gugercin , Athanasios C. Antoulas: A comparative study of 7 algorithms for model reduction. CDC 2000: 2367-2372. manage site settings.
Comparative analysis of seven machine learning ...
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由 T Zhao 著作2022被引用 35 次 — In this study, we evaluated and compared the ability of seven mainstream ML algorithms (Decision Tree (DT), Random Forest (RF), Gradient ...
A comparative study of different optimization algorithms for ...
ScienceDirect.com
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由 H Feizi 著作2024被引用 6 次 — The results of the study indicate that both DE and GA algorithms performed nearly equally; however, the DE Algorithm reached its result more quickly with the ...
Comparative analysis of seven machine learning ...
ResearchGate
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ResearchGate
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2024年10月22日 — The three best ML algorithms (GBDT, NN, RF) performed significantly better than the three best empirical models (Lu 2007, Côté and Konrad 2005, ...
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A Comparative Study of Computational Algorithms used in ...
Queen's University Belfast
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由 T Marzullo 著作2017被引用 3 次 — A Comparative Study of Computational Algorithms used in the. Automatic Generation of Reduced-Order Models from CFD. Simulations.
Comparative study of ten machine learning algorithms for ...
Nature
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由 RMX Wu 著作2024 — This research aims to explore more efficient machine learning (ML) algorithms with better performance for short-term forecasting.
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