Name
Abstract | ||
|---|---|---|
Maintenance support work is an important link in maintaining and improving the combat effectiveness of aviation equipment, and is an important link in the comprehensive equipment support system. Accurate measurement and evaluation can provide a strong theoretical basis for the next maintenance system reform. This paper draws on the successful evaluation index system of aviation equipment maintenance support abroad, and establishes an index system suitable for the characteristics of our army. And using the nuclear over-limit learning machine as the modeling framework, an effectiveness evaluation model based on KELM is proposed. Simulation experiments show that under small sample conditions, the model can quickly learn evaluation indicators, and the variance between the output evaluation value and the true value is small, and it has good function approximation performance and generalization ability, which is a guarantee for aviation equipment maintenance Provide reference for system effectiveness evaluation. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3469213.3470300 | PROCEEDINGS OF 2021 2ND INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS '21) |
Keywords | DocType | Citations |
Extreme learning machine, kernel function, Maintenance support, Effectiveness evaluation | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Bai | 1 | 0 | 0.34 |
| Xing Liu | 2 | 0 | 0.34 |
| Lijian Zhou | 3 | 0 | 0.34 |
| Jinpo Zhang | 4 | 0 | 0.34 |