基于优化PageRank算法的作战行动重要度排序方法研究
Research on the Importance Ranking Method of Operaions Based on Optimized PageRank Algorithm
吴蕾 1潘寒尽 1畅杰 1高超1
作者信息
- 1. 陆军航空兵学院某研究所 北京 101121
- 折叠
摘要
从计算机战争模拟产生的海量数据中快速、准确地找出关键行动,可以辅助导演部掌握作战过程,实现对演习评估的支撑.分析共现行动以及构建作战行动共现网络模型,并利用改进的PageRank算法对作战行动重要度排序.实验表明,优化的PageRank算法能够更好地对作战行动进行重要度排序,实现对关键行动的提取.
Abstract
Quickly and accurately identifying key actions from the massive data generated from wargaming can assist the di-recting department in mastering the operational process and providing support for wargaming evaluation.This paper analyzes co-oc-currence actions and constructs a co-occurrence network model for operational actions,and uses the improved PageRank algorithm to rank the importance of operational actions.Experiments have shown that the optimized PageRank algorithm can rank the impor-tance of operational actions better and achieve the extraction of key actions.
关键词
战争模拟/关键行动/重要度排序/共现网络Key words
wargaming/key actions/importance ranking/co-occurrence network引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据