一种联合作战推演综合指标分类评估方法OA
A Classification and Evaluation Method for Comprehensive Indicators in Joint Operations Wargaming
针对联合作战推演智能化评估需求,需解决两大核心问题:一是有效表示推演周期中动态变化的多作战单元指标数据;二是构建可提取动态特征并实现综合指标分类的模型.基于图注意力模型提出完整评估方法,可自动化分类评估综合指标.实验表明,该模型输出稳定,分类精度更高,拟合速度更快,得益于对动态特征的有效捕捉及冗余信息的抑制,为联合作战推演智能化评估提供了新技术路径.
To meet the demand for intelligent evaluation in joint operations wargaming,two core challenges must be addressed:first,the effective characterization of dynamically changing indicator data for multi-combat units throughout the wargaming cycle;second,the development of a model capable of extracting dynamic features for comprehensive indicator classification.This paper proposes an integrated evaluation method based on the graph attention network(GAT)to realize the automated classification and evaluation of comprehensive indicators.Experimental results demonstrate that the proposed model achieves stable outputs,higher classification accuracy,and faster convergence speed.By effectively capturing dynamic features and suppressing redundant information,this method provides a novel technical approach for the intelligent evaluation of joint operations wargaming.
蒋营国
中国人民解放军95795部队,广西 桂林 541003
信息技术与安全科学
联合作战推演综合指标动态图结构图注意力模型分类评估
joint operations wargamingcomprehensive indicatorsdynamic graph structuregraph attention networkclassification and evaluation
《火力与指挥控制》 2026 (7)
1-7,13,8
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