摘要
考虑战斗条件因素对战役级别弹药消耗的非线性关联影响,按照影响因素模糊处理-因子分析-回归预测的思路,通过构建模糊逻辑控制系统,优化因子分析的方法,建立以公共因子为自变量的回归模型,得到量化预测结果,增强对作战任务等战斗条件因素的精准量化能力,提升回归模型拟合的准确度。通过实证检验,该算法对不同战斗条件因素下的弹药消耗预测准确率较高。
Considering the nonlinear correlation effect of combat condition factors on ammunition consumptionat campaign-level,this paper follows the idea of“fuzzy processing of influencing factor-factor analysis-regression prediction”.By constructing a fuzzy logic control system and optimizing the factor analysis method,a regression model with common factors as independent variables is established to obtain quantitative prediction results.It enhances the precise quantification capability for combat condition factors like operational tasks,and improves the accuracy of the regression model fitting.Empirical validation demonstrates that the proposed algorithm achieves high prediction accuracy for ammunition consumption under various combat condition factors.
作者
王亚龙
赵乾
史宪铭
郝冰
WANG Yaong;ZHAO Qian;SHI Xianming;HAO Bing(Shijiazhuang Campus of Army Engineering University,Shijiazhuang 050003,China)
出处
《火力与指挥控制》
北大核心
2025年第8期71-80,共10页
Fire Control & Command Control
基金
省级研究生资助课题项目,省级科研基金项目。
关键词
战斗条件
模糊逻辑
因子分析
多元回归
弹药消耗预计
combat conditions
fuzzy logic
factor analysis
multiple regression
ammunition consu-mption prediction
