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- Title
基于支持向量机的轰炸机敏感性权衡优化.
- Authors
韩欣珉; 徐浩军; 尚柏林
- Abstract
The design and improvement of the susceptibility scheme in survivability is a process of constant tradeoff of benefits and costs. A method of bomber susceptibility tradeoff based on support vector machine (SVM) is studied to optimize the benefit-cost of bomber susceptibility tradeoff. The SVM model is established to simplify the susceptibility calculation and the model parameters are optimized by cross validation and grid search. The function relationship between the bomber susceptibility parameter and the increased cost is fitted, and the sensitivity theory is introduced into the susceptibility tradeoff. The value range of the susceptibility parameter is determined from the perspective of optimal cost-effectiveness. Finally, the feasibility of the method is verified by simulation. The results show that the tradeoff optimization method can optimize the range of susceptibility parameter sunder the cost constraint. The accuracy is guaranteed and the computational efficiency is improved.
- Subjects
SUPPORT vector machines; COST effectiveness; BOMBERS (Airplanes)
- Publication
Systems Engineering & Electronics, 2019, Vol 41, Issue 11, p2488
- ISSN
1001-506X
- Publication type
Article
- DOI
10.3969/j.issn.1001-506X.2019.11.12