Feature Selection, Clustering, and Prototype Placement for Turbulence Datasets
Author:
Affiliation:
1. Sandia National Laboratories, Albuquerque, NM 87185
Funder
U.S. Department of Energy
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.J060919
Reference37 articles.
1. SMOTE: Synthetic Minority Over-sampling Technique
2. Deep neural networks for data-driven LES closure models
3. Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
4. Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data
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