Data-driven models for full-flight fuel flow rate prediction in civil aviation: A case study on A320 and B787 aircraft
Fields of Study & Subjects
Aerospace and Aviation Technology
Model Reduction and Neural Networks
Advanced Aircraft Design and Technologies
Publication details
- Journal / source
- Aerospace Science and Technology
- Publisher
- Elsevier BV
- Volume
- 177
- Pages
- 112289–112289
- Publication date
- 3 April 2026
- Language
- EN