Applied machine learning to estimate length of separation and reattachment flows as parameter active flow control in backward facing step / Ahmad Fakhri Giyats, Mohamad Yamin and Cokorda Prapti Mahandari
Recently, large amounts of data from experimental measurements and simulations with high fidelity have extensively accelerated fluid mechanics advancement. Machine learning (ML) offers a wealth of techniques to extract data that can be translated into knowledge about the underlying fluid mechanics....
Saved in:
| Main Authors: | , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
Faculty of Mechanical Engineering Universiti Teknologi MARA (UiTM)
2023
|
| 主題: | |
| 在線閱讀: | https://ir.uitm.edu.my/id/eprint/84115/1/84115.pdf https://doi.org/10.24191/jmeche.v20i3.23904 https://ir.uitm.edu.my/id/eprint/84115/ https://doi.org/10.24191/jmeche.v20i3.23904 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|