指挥控制与仿真Issue(4)：111-113,122,4.DOI:10.3969/j.issn.1673-3819.2014.04.024
基于KP CA的作战仿真实验数据特征提取方法
Feature Extraction Method for Combat Simulation Data Based on KP CA
赵景龙 1何铁军1
作者信息
- 1. 中国人民解放军93501部队，北京 100076
- 折叠
摘要
Abstract
For the complexity and nonlinearity of various combat elements in combat simulation analysis, a feature extraction method for combat simulation data based on KPCA is proposed. The principle and algorithm of KPCA feature extraction are described. Then KPCA method is applied to the dimension reduction of combat simulation data. The number of new features is determined by the cumulative contribution rate. Simulation results show that compared with PCA, the proposed method has the advantages of obvious principal component feature and concentrated contribution rate. It can effectively integrate the non-linear characteristics, and reduce the dimension of the original data.关键词
作战仿真/核主成分分析/特征提取Key words
combat simulation/KPCA/feature extraction分类
信息技术与安全科学引用本文复制引用
赵景龙,何铁军..基于KP CA的作战仿真实验数据特征提取方法[J].指挥控制与仿真,2014,(4):111-113,122,4.
