A reduced model using random forest: application on car crash optimization

DOI10.1007/S40324-019-00208-8zbMath1476.62265OpenAlexW2992704863MaRDI QIDQ2059135

Louis Jézéquel, E. Gstalter, Y. Tourbier, M. Charrier, S. Assou, Olivier Dessombz

Publication date: 13 December 2021

Published in: S\(\vec{\text{e}}\)MA Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s40324-019-00208-8

zbMATH Keywords

optimizationrandom forestreduced order modelReCUR

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30)

Cites Work

• Unnamed Item
• Unnamed Item
• CUR matrix decompositions for improved data analysis
• Recent advances and new challenges in the use of the proper generalized decomposition for solving multidimensional models
• A parametric and non-intrusive reduced order model of car crash simulation
• The method of proper orthogonal decomposition for dynamical characterization and order reduction of mechanical systems: an overview
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests

This page was built for publication: A reduced model using random forest: application on car crash optimization