Helicopter reconnaissance indicators sensitivity analysis based on machine learning
In order to meet the requirements of sensitivity analysis in the design of helicopter reconnaissance indicators, based on the logistic regression method in machine learning, the reconnaissance capability index system of helicopter system contribution evaluation is established. Firstly, the basic ste...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Command Control and Simulation
2024-12-01
|
| Series: | Zhihui kongzhi yu fangzhen |
| Subjects: | |
| Online Access: | https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1732684129811-1461544931.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846151723699142656 |
|---|---|
| author | JIANG Xinyi, LOU Benchao, ZENG Weiping |
| author_facet | JIANG Xinyi, LOU Benchao, ZENG Weiping |
| author_sort | JIANG Xinyi, LOU Benchao, ZENG Weiping |
| collection | DOAJ |
| description | In order to meet the requirements of sensitivity analysis in the design of helicopter reconnaissance indicators, based on the logistic regression method in machine learning, the reconnaissance capability index system of helicopter system contribution evaluation is established. Firstly, the basic steps of sensitivity analysis of helicopter reconnaissance indicators based on machine learning are introduced. Secondly, sensitivity analysis of helicopter reconnaissance mission effectiveness is achieved through task planning, constructing indicator systems, collecting relevant data, evaluating effectiveness, and using machine learning algorithms for modeling and training. This study can provide reference for the sensitivity analysis of helicopter task efficiency and provide more scientific and reasonable support for the development and application of helicopters in the system. |
| format | Article |
| id | doaj-art-db0d21493c9c481f9803b9abf38c1ece |
| institution | Kabale University |
| issn | 1673-3819 |
| language | zho |
| publishDate | 2024-12-01 |
| publisher | Editorial Office of Command Control and Simulation |
| record_format | Article |
| series | Zhihui kongzhi yu fangzhen |
| spelling | doaj-art-db0d21493c9c481f9803b9abf38c1ece2024-11-27T05:28:13ZzhoEditorial Office of Command Control and SimulationZhihui kongzhi yu fangzhen1673-38192024-12-0146613113610.3969/j.issn.1673-3819.2024.06.021Helicopter reconnaissance indicators sensitivity analysis based on machine learningJIANG Xinyi, LOU Benchao, ZENG Weiping0China Helicopter Research and Development Institute, Jingdezhen 333001, ChinaIn order to meet the requirements of sensitivity analysis in the design of helicopter reconnaissance indicators, based on the logistic regression method in machine learning, the reconnaissance capability index system of helicopter system contribution evaluation is established. Firstly, the basic steps of sensitivity analysis of helicopter reconnaissance indicators based on machine learning are introduced. Secondly, sensitivity analysis of helicopter reconnaissance mission effectiveness is achieved through task planning, constructing indicator systems, collecting relevant data, evaluating effectiveness, and using machine learning algorithms for modeling and training. This study can provide reference for the sensitivity analysis of helicopter task efficiency and provide more scientific and reasonable support for the development and application of helicopters in the system.https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1732684129811-1461544931.pdfhelicopter|sensitivity analysis|machine learning |
| spellingShingle | JIANG Xinyi, LOU Benchao, ZENG Weiping Helicopter reconnaissance indicators sensitivity analysis based on machine learning Zhihui kongzhi yu fangzhen helicopter|sensitivity analysis|machine learning |
| title | Helicopter reconnaissance indicators sensitivity analysis based on machine learning |
| title_full | Helicopter reconnaissance indicators sensitivity analysis based on machine learning |
| title_fullStr | Helicopter reconnaissance indicators sensitivity analysis based on machine learning |
| title_full_unstemmed | Helicopter reconnaissance indicators sensitivity analysis based on machine learning |
| title_short | Helicopter reconnaissance indicators sensitivity analysis based on machine learning |
| title_sort | helicopter reconnaissance indicators sensitivity analysis based on machine learning |
| topic | helicopter|sensitivity analysis|machine learning |
| url | https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1732684129811-1461544931.pdf |
| work_keys_str_mv | AT jiangxinyiloubenchaozengweiping helicopterreconnaissanceindicatorssensitivityanalysisbasedonmachinelearning |