Symbolic Regression-Based Modeling for Aerodynamic Ground-to-Flight Deviation Laws of Aerospace Vehicles
The correlation between aerodynamic data obtained from ground and flight tests is crucial in developing aerospace vehicles. This paper proposes methods for modelling this correlation that combine feature extraction and symbolic regression. The neighborhood component analysis (NCA) method is utilized...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Tuhinga |
| Reo: | Ingarihi |
| I whakaputaina: |
MDPI AG
2025-05-01
|
| Rangatū: | Aerospace |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2226-4310/12/6/455 |
| Tags: |
Tāpirihia he Tūtohu
No Tags, Be the first to tag this record!
|