指挥控制与仿真
指揮控製與倣真
지휘공제여방진
COMMAND CONTROL & SIMULATION
2014年
4期
111-113,122
,共4页
作战仿真%核主成分分析%特征提取
作戰倣真%覈主成分分析%特徵提取
작전방진%핵주성분분석%특정제취
combat simulation%KPCA%feature extraction
针对作战仿真分析过程中各作战要素的复杂性与非线性，研究了一种基于KPCA的作战仿真实验数据特征提取方法。该方法描述了KPCA特征提取的原理和算法，并将其应用于作战仿真实验数据的空间降维，根据累积贡献率确定新特征的数量。仿真结果表明，该方法与PCA相比具有主成份特征明显、贡献率集中等优点，能够有效综合原始数据的非线性特征，降低原始数据的维数。
針對作戰倣真分析過程中各作戰要素的複雜性與非線性，研究瞭一種基于KPCA的作戰倣真實驗數據特徵提取方法。該方法描述瞭KPCA特徵提取的原理和算法，併將其應用于作戰倣真實驗數據的空間降維，根據纍積貢獻率確定新特徵的數量。倣真結果錶明，該方法與PCA相比具有主成份特徵明顯、貢獻率集中等優點，能夠有效綜閤原始數據的非線性特徵，降低原始數據的維數。
침대작전방진분석과정중각작전요소적복잡성여비선성，연구료일충기우KPCA적작전방진실험수거특정제취방법。해방법묘술료KPCA특정제취적원리화산법，병장기응용우작전방진실험수거적공간강유，근거루적공헌솔학정신특정적수량。방진결과표명，해방법여PCA상비구유주성빈특정명현、공헌솔집중등우점，능구유효종합원시수거적비선성특정，강저원시수거적유수。
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.
